CALENDAR YEAR DESCRIPTION FOR GROUP 7? 1 to 24 characters CALENDAR YEAR DESCRIPTION FOR GROUP 8? 1 to 24 characters CALENDAR YEAR DESCRIPTION FOR GROUP 9?

Keywords: IUSEVl, IUSEV2, IUSEV3, IUSEV4, IUSEV5

n (i.e. such that w (k) = j) n -lo-D (k) ~ 1 if worker n dies of the ~ause of interest in year k~ 0 otherwise n d ~ the number of deaths from the cause of interest 1n stratum i i d ~ the number of deaths from the cause of interest in stratum i, exposure ij category j B. Study Population and Exposure Distribution Description MOX first goes through the entire data file to determine person-year and exposure distributions for the study population. For each worker n, MOX goes through each year of follow-up k and determines the x (k) (i.e. classifies n all years with respect to strata defined by the categories of the control variables chosen), It also classifies the exposure associated with each person-year, z (k), into one of the J specified categories and usee this z (k) n n 2 in calculating the exposure mean (MU ), variance (SIG )~and other required i ~uantities for the appropriate stratum. All person-years are considered to start on J•n""cy I of • particular calendar ye~r. with age and other time-related variable~ expressed by their truncated integer values in years at that time. Most commonly, analyses ~ill include person-years from some &pecified minimal period afer employment until the person is either dead or lost to follow-up. Alternative choices, however, can be specified by the user. After printing all user specifications and reLated processing inform.!ltil'>n, a set of tables is produced by MOX (see appendix H). These tables include the following information: -II-I. "PERSON-YEARS AT RISK" 
These tables give the number of person-years (P ) in the study classified ' by the control variables. For the example in appendix H, the primary variable is taken to be age grouped in single year intervals, while the secondary variable is taken to be calendar year grouped in 5-year intervals. 

II. "DEAlllS FROM ALL CAUSES"

"DEAlllS FROM ALL CANCERS" 
These tables give the deaths from all causes and all cancers (d ). 
' Distributions of deaths from other causes can be obtained by specifying any ICD code ranges. 

III. "EXPOSURE MEANS", "EXPOSURE VARIANCES" 2

These tables present the means (MU ) and variances (SIG ) respectively of ' ' the exposures associated with the person-years in the strata defined by the control variables. 
IV. 

INTRODUCTION TO HOX

What is MOX? MOX is a computer program. It is designed to be used as a tool in assessing the relationship of occupational exposure and mortality from several specific causes in a large cohort or follow-up study. MOX stands for Mortality and Occupational eXposure analysis. 

What computers will MOX work on?


What type of methodology does MOX use?

MOX assesses the relationship of occupational exposure and mortality from several causes without reference to an outside population. The statistical tests employed take full advantage of whatever quantitative exposure data is available and provide appropriate treatment of data on exposure accumulated over time. The statistical tests also allow control for potentially confounding variables such as age, calendar year, length of employment, etc. 
The statistical methodology used can be considered an adaptation of the Mantel-Haenszel method [1], or an application of Cox 1 s proportional hazards model [2]. Although the program is designed for population-based cohort analysis, it is also possible to use MOX to conduct "proportional mortality analyses", if only data on deaths are available. 
What type of methodology do Other computer progrnms for analyzing occupational mortality use! -2-Other commonly used computer programs [3,4] for analyzing occupational mortality data calculate standard mortality ratios (SMRs) for several causes of death. The SMR is defined as 100 x (observed deaths/expected deaths}, where expected deaths are calculated by applying age-sex-race-calendar year specific death rates for the U.S. population* to the person-year distribution of the study population (see Monson [3] for further details on this method). 
Confidence intervals and statistical tests for whether or not these SMRs differ significantly from 100 are also provided. SMRs may also be calculated separately for various exposure categories. length of employment categories, etc. 
* SMRs may also be calculated from other external populations but the use of U.S. rates is the most common application of this method. 
-3-Roy does the "MOX'~ approach compare with the "SHR" approach? MOX ie similar in that it also calculates observed and expected deaths for several causes for var1ous categories defined by exposure or other variables, and assesses statistical significance of the differences. However, the expected deaths (or expecteds) in MOX are not calculated from U~S. rates, but rather from rates based on the cowbined categories of the study population. With "Sn analysis" the expecteds are the ntnnber of deaths expected if U~S5 rates prevail, while in MOX they are the num.ber of deaths expected if death rates for the study population do not vary by e1poau~e category. MDX expecteds can also be controlled for age, sex, race and calendar year (as with the SMR approach) and, in additions can be controlled for length of eaployment, length of follow-up and other user-defined variables. (This is not possible with the SMR approach because U~S. rates cannot be broken down by such variables.) Finally 1 unlike other available computer programs, MOX provides statistical tests for whether or not death rates increase with an increase in exposure (or other variables)~ Such tests can be based on individual exposures or on scores assigned to exposure categories. In the latter case. the test is Mantel's test for trend [5] {see page 14 for further detail). 
What are the advantages of making internal comparisons rather than introd~cing rates from an external population? 
Although compa~ing mortality in the study population with that of an -4external control (such as the U~S. population) is an important first step in analyzing occupational mortality data~ such comparisons are often diffic~lt to interpret because of the bias introduced by such factors as pre-employment selection~ health insurance, and medical surveillance programs. This bias ~s o.ften referred to as the "healthy ~Jorker effect'' {6]. Also, in many studies, incomplete ascertainment of deaths in the study population may make external comparisons difficult to interpret. lf the SMR approach is used primarily to compare various subgroups (with different exposu~e levels), shouldn 1 t the problems related to the use of an external population disappear? This is not necessarily true because the healthy worker effect often varies by age and other factors~ If the exposure groups are not completely comparable vith respect to these factors, bias may be introduced (see Gaffey [7] and Cook [8], for example). In addition, as noted above, it is not reasonable to control SMRs for factors for which separate U.S~ rates are not available, except by conducting separate analyses for various subgroups. When this is done. numbers are frequently too ~all to be meaningful. Finally, simply aseee~ing whether or not SMRs for various exposure groupa differ froo 100 {see page 2) is not as powerful, or as relevant a test, as teatin& for an incr~ase in death rates with increasin& ~posure, as is done in MOX. 
Row should one decide when to use the HOX approach and when to use the SMR approach? 
In most populations both approaches are useful, but the relative contributions of the two methods will depend on the type of exposure data available, and on the distribution of exposures in the study population. 
-5-Because the HOX approach is based on internal comparisons, MOX will be most useful for analyzing populations with good exposure data, considerable variability in exposure~ and/or a relatively large subgroup with little or no exposure~ In other situations, MOX can still be useful provided there is some basis for determining exposure differences within the population, but one would probably want to supplement such analyses by calculating SMRs based on external rates. 
Finally, if the entire study pop~l3tion is exposed in a fairly uniform manner, or if the available data is inadequate to differentiate exposure groups, comparisons with an external control via SMRs will probably provide the most meaningful analysis. However~ even in this situation, s~pplemental analyses based on MOX, vith length of employment or other variables used as surrogates for exposure, may provide added insights. 
Woat sort of exposure data will MOX handle? MOX is designed to handle the situation in vhich one has a q~antitative exposure meas~rement for each worker for each year of employment. However) MOX can handle expos~re data in nearly any form vith proper recodin& (see page 29). 
What special problems are introduced by exposure which is chronic, i.e~, gradually accQmulaced over time? 
If one were to consider only the final accumulated exposure total for each vorkerj the analyses would be biAsed toward a positive correlation of -6survival and exposure simply because those workers that survive the longest have the most opportunity to accumulate exposure. (This bias is discussed by Enterline [9]). This means that each worker's entire exposure history must be considered. In addition, exposure is very likely to be correlated with such time dependent variables as age, calendar year, length of employment, etc~, which may in themselves be related to mortality (creating a potential source of confounding). Finally, the relationship of the timing of the exposures and any effects vhich occur is more difficult to investigate with a chronic exposure. 
Row does HOX handle the special problems introduced by chronic exposure? 
The basic unit of analysis for MOX (as ¥ell as for other conputer programs designed for use in cohort studies) is the person-year. It can be defin€d as one year in the follow-up of one peson. Associated with each person-year is the accumulated exposure st that time, as well as values for variables such as age, calendar year, length of employment (which change as a worker is followed through time}, plus values for variables such aa race and sex vhieh do not change with time. Expected deaths and other test statistics are all based on person-yearb which have been allocated by expoaure, in addition to other control variables. 
-7-How does MOX deal with a possible latent period? It is. possible to introduce a "lag" G between the exposure and the effect by defining the exposure associated with ~ ~ivcn person-year a6 the acc~mulated exposure G years prior to that time. 
What control variables can be included in analyses conducted with MDX? 
The user can choose to control analyses for several variables including age, calendar year$ follow-up time, length of employment} job category and as many as five non-time dependent user defined variables (common choices would be sex, race and initial year of emplo~eut}. For each of the variables selected, the user determines the definitions of the categories to be used. 
Two of these variables are selected as the primary and secondary control variables, and provide the basis for the vertical and hori~ontal categories, respectively, in the various tables that are printed. These two variables must be chosen from among the three variables age, C41endar year and follow-up time, and are the variables that generally require the most categories. 
What type of statistical summaries does HOX provide? MOX provides observed and expected deaths by exposure category, estimated relative risks and the resulta of various statistical tests for several specific C3uaes of death {see page 15). 
How are various causes of death identified? 
It is assumed that deaths are coded to the Eighth Revision of the International Classification of Diseases (ICD). A complete list of the causes for vhich MOX provides various statistical tests is given in Appendix I. 
Wha~ else does MOX provide? 
In addition to the summaries noted above, MOX provides tables of person-years and (as an option) deaths for any selected causes. the tables -6are distributed by the variables chosen as the primary and secondary control variables, and by e~posure categories. Tables of ~poaure means and variances are also provided in a like wanner. Finally, all of the above can be obtained broken down by the other control variables included in the analysis (i.e., length of employment, sex, etc.). Does MOX p~ovide estimates of the effects of exposure? 
HO~ provides only statistical tests for the association of exposure and mortality, plus the relative risks for each exposure category. However, the summary tables noted above could be edited and used as input for statistical programs such as RUMMAGE [10] or GLIM [lll. DESCRIPTION OF MOX METHODOLOGY AND OUTPUT 

A. Notation

The following notation is needed to adequately describe MOX methodology and output: (This " not the notation used in the program itself.) 
n = i J = k = z (k)

S

= the score assigned to exposure category j, commonly taken to be the j mean of all exposures z (k) in exposure category j -12-VI. "TOTAL EXPOSURE*'*X", X.'=l,2 ,3 ,4 X Ihese tables give the sums of [z (k)] for each stratum defined by n the primary and secondary control variables. For most applications of MOX there will be no reason to print these tables, however, display of these sums is available as an option~ 
The above tables may be obtained separat~ly for each stratum i determined by all of the stratification variables, and may also be obtained collapsed over all but the primary and secondary variables. In the example in appendix H, age and calendar year ~ere the only stratification variables. If, for instance~ length of employment had also been selected as a stratification variable with two categories (lesa than 10 years and 10 or more years), separate tables for ea<::h of these two strata could have been obtained. 

C.

Description of the methods used by MOX to relate exposure and mortality from several causes 
In this section a detailed description of the methodology employed in MOX is given. lbe output produced by HOX relating exposure and mortality from $€Veral causes is described in Section D. 1be analysis based on grouped eKpoaure data is described first, since this may be more easily understood by those accustomed to SMR type analyses~ To analyze data using the MOX approach, expected deaths in each exposure category and stratum are calculated by multiplying the number of person-years in that category and stratum by the death rate for the combined exposure categories in that stratum. The total number of deaths expected in a given exposure category is obtained by summing over strata. That is~ the total number of deaths expected 1.n category j is 
given by E "' Sum P d /? 
j i ij i i (1)
The total number of observed deaths in category J LS given by 0 j 

Sum d i ij

Note that Sum E j j = Sum 0 • d j j 
-13-As a summary measure for each exposure category, the Mantel-Haenszel [1] relative risk, as adapted for a cohort study, is calculated. This relative risk is given by MHRR • [Sum d (P -P )/P ]/[Sum (d -d )P /P] (2) 
J ij i ij l.J ij l.
and can be thought of as the risk of category J relative to the pooled remaining categories. 
A test of whether the number of deaths observed in category j differs significantly from that expected can be obtained by calculating the Mantel-Haenszel test statistic with the remaining J-1 categories pooled, and the finite population correction factor omitted. That is, the approximately normally distributed test statistics are given by 
T • (O -E )/[Sum d P (P J J J i i ij l. -p ij 2 )/P i 1/2 J (3) 
Upper and lower 95% confidence limits for the relative risks may be obtained using the test based procedure of + 1-1. 96/T Miettinen [13] as MHRR J ( 4) 
More generally, 1 -alpha level confidence intervals could be calculated by substituting the alphai2 percentage point of a standard normal distribution for the value 1.96. 
-14-Mantel-Haenszel also describe the calculation of a test statistic for assessing overall differences in the relative risks for the J exposure categories. This statistic, which under the null hypothesis of no differences in mortality among the exposure categories, has a chi-square distribution with J-1 degrees of freedom. It is defined as follows: 
2 -1 X = Sum Sum (O E )(O E ) v ( 5) J k j j k k jk
-1 where v is an element of the 1.nverse of the matrix defined by jk v = Sum n p (1-P ) for j=k and jk ' ' 
cj ij v = -Sum n P P for J not = k jk l. i ij ik
Mantel's test for trend [5] as adapted for a cohort study by Hakulinen [14] can be obtained by calculating the approximately normally distributed test statistic given by Y"'SumS(Os J J J /P -(Sum ' j s j 2~/2 
P / P ) ] (6) 
,, ' 
where the S designate exposure values or scores assigned to the J categories. j Unless otherwise specified, MOX uses the average of the exposure values within an exposure category as the score for the category. It is evident that the numerator of this statistic will be large when large excesses (0 -E ) are j j associated with large S • j 
The numerator of this statistic can also be written as Sum Sum S d -Sum d Sum S P /P J 
j ij i i j j ij l.
-15- 
In this form, it is evident that the statistic could be calculated even if categories were so fine that only one exposure value was included in each category, which would be equivalent to analyzing ungrouped exposure data. In this case, many of the d and P would be zero. 

ij i j

For ungrouped exposure data, an alternative way of writing the statistic 
y " y z "' [Sum n Sum k D (k) z (k) -Sum d MU ]/[Sum d n n 2 1/2 SIG ] i i (7) 
In this form, the numerator may be viewed as the difference between the sum of the exposures of workers who die of the cause of interest and the sum of the mean exposures of similar workers (same stratum) at risk of dying. -16- 

D. Description of output giving results of analyses relating


!REND TEST STATISTIC:

The statistic used to test for an association of ezposure and mortality from the cause of interest. See Y ; equation (7) on z page 15. 
UNADJUSTED ONE-TAILED P-VALUE: This is the p-value for the test for trend and will be the probability that a standard normal variable exceeds Y • 

CODING VARIABLES

The information gathered in any type of study is usually coded to simplify the process of recording it on machine-readable media. A coding scheme equates numeric or alphabetic characters to each value of some or -21all of the variables. This speeds data entry by reducing the number of key strokes and allovs the information to be represented in far less space than would otherwise be possible. For example, in our study group sample we have coded each worker as being ~n one of four general job categories. Let us suppose the job categories are white collar, nuclear, craftsmen and service. 
By equating white collar with a numeric 1; nuclear with a numeric 2; and so on, we have represented each category with a single digit. As a rule, variables are recorded so that each case occupies one or more SO-character records. This, of course, is mandatory if you are using punched cards; but regardless of the recording medium being used, it is a good practice to limit the size of each record. The size selected should allow your system editor to easily manipulate the records; and, if possible, should permit each record to be displayed on a single line by both your terminal and printer. 

VARIABLE TYPES

A variable may be coded either numerically or alphanumerically. The distinction between the two types is important because each is processed differently by the computer. A numeric variable may be represented by a single digit, such as a code for sex; or by multiple digits, such as a research number, as shown in our sample. This type of variable can be used in mathematical operations. On the other hand, an alphanumeric variable is represented by any combination of characters and cannot be used in mathematical operations. Thus, although it LS always possible to recede an alphanumeric value into a numeric form; it makes good sense to use only numerically coded variables in the first place. This grants the flexibility of operating on each variable in whatever ways prove necessary. 
-•~ 

CODING MISSING VALUES

Quite often, in any type of population study, values for all variables are not available. A missing value code must then be substituted to distinguish missing data from true zero values. The code selected must be such that confusion with an actual value is avoided. It is wise to choose a code of the same size and type as the field allotted for the particular variable. In our sample, a code of -999 is used for all date variables, four character numeric fields; a code of -99 for the cause of death variable, a three character numeric field; and a code of -9999 for all exposure variables, five character numeric fields. Note that a legitimate value for any of these variables would be greater than or equal to zero. 

CASE IDENTIFICATION AND SEQUENCING

A field for case identification LS often reserved in each record of each case. This variable should contain a unLque research number derived from characteristics peculiar to the individual; for example, a social security or payroll number. In addition, it is useful to reserve a field in each record for record sequencing, as in our sample. This gives you the capability of sorting your file by case identification and record number if necessary, perhaps after updating. 
-n- 

THE USE OF BINARY SUBFILES

The cases selected by HOX for processing may be saved on a permanent binary (unformatted) subfile. We refer to it as a subfile because it generally consists of a subset of the cases in a study group. However, it may just as well contain a binary representation of all of the cases. 
Substituting this type of file for the original formatted one in subsequent Note also that in a formatted file each space between fields occupies a position whereas a binary file contains no spacing. Thus, any decrease (or possible increase) Ln storage demands resulting from data conversion is dependent upon the nature of your study group, the coding scheme used to record the information and whether all cases, or just selected ones, are saved. In most enviornments, the unlikely prospect of even a sizeable increase would be more than offset by the benefit of greatly reduced processing times. -25-PART 2. PROCESSING CONSIDERATIONS Operating on a VAX, and processing data as soon as it is read, allows HOX to handle very large study groups. The VAX, a virtual memory machine, uses disk storage as an extension of core memory. Therefore, the actual number of cases that can be processed depends upon the amount of temporary disk storage and core memory available to you. Users should be aware, however, that results from processing a very large number of cases (over 100,000) may not be accurate unless precautions are taken. Exposure related numerical quantites may become so large that they overflow their allotted space in memory, or suffer from serious roundoff error. In addition to steps taken by HOX to limit such problems, the user may prevent their occurrence by scaling large exposure values. This is a good practice to follow regardless of the size of your study group. 
For example, assume that our sample in Figure 1 option for controlling by follow-up time. 
option for controlling by job category. 
option for controlling by non-time dependent user defined variables. 
the number of years by which exposures are to be lagged. 
The following variables are defined for each worker in the SELECT routine: 
IBYR, I CAUSE, IDYR,
a four digit calendar year of birth. 
an Eighth Revision ICD three digit code for cause of death (or a missing value code for workers still alive). 
a four digit calendar year of death (or a missing value code for workers still alive). 
IHYR. 
a four digit calendar year indicating initial employment date. 
a four digit calendar year indicating final year of employment (last date included in the study for workers still employed). 
Ibe dates IHYR and IFYR are used for the calculation of length of employment which may be used as a criterion for selecting cases, and/or ~y be selected as a time dependent control variable. 
-28-lUSEVl thru IUSEV5J EXPOSURE, This is an array which must be filled with the exposure values associated with each year of the study from 1 (for calendar year ISTDYS) to ISTDYE-ISTDYS + 1 (for calendar year ISTDYE). In the sample SELECT routine in Figure 2 (pages 32,33), MDX reads in an exposure vector YEXP where YEXP(l) denotes the annual exposure received by the worker being processed in year I (indexed as noted). 
Values for years before and after the worker's period of employment may be designated as zero or as a negative missing value code (both are treated as zero). Note that the indexing for this vector does not depend on the particular employment years of the worker. 
In the sample SELECT routine on page 32, MDX calculates the cumulative exposure associated with each calendar year as (9) and (10) of the SELECT routine] 
I-1 EXPOSURE(I) = Sum YEXP(K) K~ [See records
For some applications it may be more straightforward to read in the cumulative EXPOSURE vector directly and omit this step [records ( 9) and ( 10)] of the SELECT routine. See example 4 (page 30). 
As noted on page 27, the user also defines the fixed variable LATENT (constant for all workers in a particular run) which designates a value by which exposures are to be lagged. In carrying out analyses, MDX takes LATENT into account by using EXPOSURE(!-LATENT) as the exposure value to be associated with year I. This provision for the latent period is done outside the SELECT routine and is not shown. 
For the examples presented in this manual, quantitative measurements of radiation exposure for each worker for each year of employment were available. 
These measurements could then be used directly in defining the array YEXP of annual exposures. In other studies, exposure data may not be in this form end receding may be necessary. The following are a few examples of such receding. 
Example 1: Exposure data is available only as an estimate of the cumulative exposure X over the entire employment period of K years. In this case, it would be necessary to distribute this total over the relevant period based on available knowledge of the probable timing of exposures. In the absence of such knowledge, the simplest way of distributing exposure would be to assign X/K as the YEXP value for each year of employment. 
-30-Example 2: Years of employment are used as a surrogate for exposure. In this case, the YEXP value for each year that an individual is employed in the industry or job is assigned a value of 1, and each year he is not employed in the industry or job is assigned a value of zero. 
Example 3: For each worker, the period of time worked in each of jobs 1,2, ••• 1 is known. If the annual exposure associated with each of the jobs can be quantified, these exposures could then be assigned to the relevant years in defining the array YEXP. 
Example 4: Each worker can be assigned to a single job category designated by JOBCAT (defined by calling JOBCATG) , but it is not possible to quantify the exposure associated with each category in a meaningful way. In this case, the EXPOSURE array could be filled directly with the value of JOBCAT and the steps given in records ( 9) and ( 10) of the SELECT routine (page 32) omitted. A test for trend could be obtained if the job categories could be even roughly ordered with respect to exposure, but other tests provided by MOX might be more meaningful. Note that an analysis of initial year of employment, or other fixed variables, could be accomplished in a similar manner. 
( 1) 
( 
( 5) 
READ (INP,800,END=700) IRESN,IBYR,IHYR,IFYR,IDYR,ISEX,IRACE, -34- 
The following explains the purpose of each instruction in figure 2: 
Record ( 1)
Record ( 2) 
Record ( 3) Record ( 4)
Record ( 5) 
:Record { 6)
Identifies subroutine. 
Includes the statements in COMMON.MOX but does not list them. 
The variables in these statements may then be used in the subroutine. OO~ON.MOX is listed in Appendix C • 

•

Dimensions the vector to use for reading in fractional exposure values. 
Turns the end of file indicator off. 
Fills the exposure vector used by MOX with zeros. The size of this vector is YRS (YRS=50 in include statements). 
If a binary {rather than formatted) input mode was specified, transfers control to record (15). 

* •

Record ( 7), ( 
Reads a case according to the format statement defined in records (41) thru (44). If end of file encountered, transfers c:ot•trol to record (39). 

* •

Record ( 9), (10) Tak~s the annual exposure values read in and transforms them into cumulative exposure values for analysis. Other transformation$ of exposure values eoul~ be performed at this point (see pages 29-30) • * Record (11), 
* (12), • (13), * (14) 
If specified, the variables read in and t:he cumulative exposure values are written to a binary subfile. Then, transfers control to record (17)~ 

• *

Record {15), ( 16) 
Record ( 1 7)
Reads a case from a subfile in the binary mode. If end of file encountered 1 transfers control to record (39). 
Counts the number of sets of records {cases) read. 
* Indicates instructions likely to require user modification~ This provides for a definition of job category which can possibly be used as a stratification variable. The job code read in is used to determine the job category of the case. If the job code does not fall into a specified job category, the case l.S rejected by transferring control to record (5) • 
• Provides for a user-defined control variable. In this example the variable is defined as year hired. (User control variables 2 thru 5 could be defined in a like manner.) 
If the worker died during the study period to be used in the analysis, transfers control to record (28), 
• 
If the worker was employed less than two years, rejects the case by transferring control to record (5). 
Record (24), ( 25) 
Record (26) Record (27)
Equates the first year to consider with the year hired + LATENT+ 1. (It is not appropriate to include person-years before the specified latent period has passed.) Equates the last year to consider with the end of the study period. For other studies, the year the worker was lost to follow-up might be used here. 
If the first year to consider is later than the last year to consider, rejects the case by transferring control to record * Indicates instructions likely to requ1re user modification. 
-36-Record (31), (32) Record ( 33) Record (34) Equates the first year to consider with the year hired + LATENT+ 1. (It is not appropriate to include person-years before the specified latent period has passed.) Equates the last year to consider with the year of death. 
If the first year to consider is later than the last year to consider, rejects the case by transferring control to record 42), ( 43), ( 44), (45) Specifies the format used for reading cases in the formatted mode. Ends subroutine. 
• • • • • Record (41), (
You could, of course, develop a SELECT subroutine in many ways. However, because there are variables that either must be or may need to be defined, it LS easier to use the routine provided as a model and make only the changes necessary to perform your own MOX analysis. To illustrate this, we modified the sample SELECT routine in Figure 2 

An interactive specification session is initiated by

The first prompt is then sent to your teroinal. 'to rece:1ve help for a prompt, simply press the return key. To receive b@lp for prompts that may require a multiple value response) press the control and Z keys sim~ltaneously. Each succeeding prompt is sent when a suitable response is entered for the present one; otherwise help is automatically given and the prompt is re-issued. Although upper case responses a~e acceptable, enter your responses in lower case {if possible)~ Because all prompts are issued in upper case 1 this helps to distinguish user input when analysis results ar~ printed~ -38-After entering the epecifications you will be as'k.ed for a COtnmand file name~ The file created by MOX will consist of prompts 1 helps and responses~ Finally, you will have a choice of performing an interactive analyeis based on your specifications or ending the interactive specification session~ If you choose not to perform an interactive analysis, you may then submit the command file (that was just created} to perform a batch MOX analysis, (This procedu~e is discussed in the ne.x.t step on page 46.) Appendix F illustrates a sample specification session for the study group described in Appendix D. 
The following is a list of all possible prompts and the rules for each response. Note that the cutpoints (lower category boundaries) referred to in this list divide a variable ioto specific eategories or levels the number of which is one more than the n~ber of cutpoints~ For example, if the number of cutpoints specified ~s 3 and the cutpoints given are 2~5,15 the 4 categories or levels would be <2, 2 up to 5, ) up to 15~ 15 or more~ Note also, when you are entering values separated by commas, the end of a record acts as a separator. For example, 2, 5 15 would be one correct way of entering the above cutpoints; however, However, prompts may be reworded if so desired. 
3. To nullify the action a posLtLve response invokes, change only that response. For instance, in example 3 we chose to stratify by job category. 
In a subsequent analysis (using this command file) ~e might decide not to control for job category. To nullify the control, all we have to do is change the first response in the example. Thus, once the particulars for each control variable are specified, they can simply be turned off and on to perform different analyses. -------------------------------------------------- 

TOTAL

" 2313 • 1.667768E+OO • 1. 72693JE+OO • -7.497727E-Ol • 7.732343E-01 • 7. 712489E--Q1 • 3 .331789E+04 • 65 • 2.180308E~O • 2.579965E+OO • -6 .31l903E-01 • J,359831E•Ol • J ,201983E-01 • 1.693872E+03 • 1767 • 1.626284E+OO • 1.663149E+OO • •4.209199E-Ol • 6.631017E-01 6.578649E-OI • 2.394278E+04 • 481 • I. 7 50895E~O • 1.846005E~O • •5.219822&-01 • 6.991196E-01 • 6.909091E-0! • 7 .681221E~3

- 1 -

 1 MOX is tailored for use only on Digital Equipment Corporation's family of VAX (Virtual Address eXtension) computers. MOX is written in VAX-11 version 3.0 FORTRAN. 


n 1 , 2 SIG

 12 ... ,N indexes workers in the study 1, ••• , I indexes control strata 1 J • • • ,J indexes exposure categories 1, ••• ,K indexes years in the study for worker n n the accumulated exposure, for worker n, G years prior to the beginning of year k (where G is a lag period specified by the user) w (k) the index of the exposure category associated with z (k) n n X (k) = the index of the stratum of worker n at the beginning of year k peraon-years in stratum > (i.e. auch that x (k) = i) n the set of exposures z (k) associated with the person-years in stratum n i (i.e. such that x (k) i) n MU the mean of the exposures Ln R i i = the variance of the exposures in R i i P = the number of person-years in stratum i and exposure category j ij (i.e. such that x (k) "'i and w (k) = j) n n 




  exposure and mortality RESULTS OF ANALYSES BASED ON UNGROUPED EXPOSURE DATA (see page 30 of Appendix H for example) NUMBER OF DEATHS: d = Sum d i i OBSERVED MEAN: The mean of the exposures at death of the workers dying of the cause of interest, Sum n of the exposures at death assuming mortality does not depend upon exposure, Sum d HU /d. 2 TOTAL VARIANCE: Sum d SIG , used in the denominator of the test i statistic. 




  ---------Tranaform yearly exposures into cumulative exposures DO 200 1=2 ,6 200 EXPOSURE( I)=MAX(YEXP( I-1) ,0 .0) +EXPOSURE( I-1)C-----------If creating subfile write case( 9) 


C

  -----Yes.~~vorker in a desired job category? IF (STRA~OB) CALL JOBCATG (*100) C-----Yes ••• define user control variable 1 (e.g. year hired) lF (STRA!USE1) 1USEV1 • IHYR c-----~orker alive? IF (IDYR,GE,ISTDYS,AND.IDYR,LE.ISTDYE) GO TO 500 C-----Yes ••• employed 2 or more years? IF (IFYR-IHYR.LT.2) GO TO 100 0-----------Yes ••• define first & last years to consider IYEMP=IHYK+LATENT+l IYTERM• IS IDYE C-----------Process case? IF (IYEMP.GT.IYTrul~) GO TO 100 e-----------Yes GO TO 600 C-----No~.6Bmployed 2 or more years? C---(Do not count. year of death if same as final year of employment) . EQ. IFYR) LEMP•LEMP -1 ( 2~) IF (LEMP.LT,2) GO TO 100 (30) e-----------Yes ••. define first & last years to consider lYEMP=IHYR+LA TF..NT+ 1 IYTERM=IDYR C---~~-----Process CASe? IF (IYEMP.GT.IYTERM) GO TO 100 C-----------Yes 




  is female, rejects the case by transferring control to record (5) •• -35-If the worker is non-white, rejects the case by transferring control to record(5). 




  worker was employed less than two years, rejects the case by transferring control to record(5). 


( 5 )

 5 •Writes the variables in common block CASE (see Appendix C) on a temporary binary file for use in the specified death analyses. 




  so it could be used to analyze a new study group in a different manner. The format of the new study group is in Appendix D. The modified SELECT routine is listed in Appendix E. * Indicates instructions likely to require user modification.-37-Step 3~ LINKING MOX Each time the SELECT subroutine is modified, you must rebuild the MDX executable image to substitute the new object module. To do this. after compiling the modified subroutine (in the subdirectory created in step 1), enter: @linkmox Step 4. ENTERING YOUR SPECIFICATIONS Users may ~ish to perform a variety of MOX analyses. Changes such as transformation of exposure measurements (log, square root, etc.)) definition of user control variables and selection of different subsets of the study grouP population take place in the SELECT subroutine, as discussed in step 2. However, the selection of control variables, the exposure categories and tbe latent period are all specified in an interactive specification session. This allows the user to conduct many different analyses without modifying the SELECT subroutine. entering! run mox. online 




  *********************************************************************** C Process only white males with at least 3 dosimetry readings * c • C Start yr = max {yr 3rd Reading + 1 , yr 1st Reading • LATENT + 1) * ~****w********~********************************************************** INCLUDE 'COMMO~.HOX/NOLIST' C************************************************* C Variables that must be defined * C (or given a negative missing value code): * c * c EXPOSURE values,IRYR,ICAUSE,IDYR,IFYR, a. t may need to be defined: *****************************************~*** REAL*4 YIW'(35) C-----Set end of file indicator EQF• .FALSE. c-----Zero exposure vector 100 CALL SETRV4 (O.O,EXPOSURE,YRS) c-----ronnatted input: file? IF {BINARY) GO TO 300 C-----Yes ••• read a case READ (INP 1 800,END~700) IRESN,YOB,ISEX,lRACE~YOll,YOF,JOBCODE, +(YEXP(l), I~l ,35) ,NONR, IFS TDS • ISCNDS ,lTIIRDS ,ll..STDS 1 YOD ,IDCODE C-----------Transform yearly exposures into cumulative exposures DO 200 1•2 ,3 5 200 EXPOSURE(I )•J!AX(YEXP(I-1) ,0 .0 )+EXPOSURE( I-1) E-1 C-----------Define dates & cause of deaLh IFSTDS•l900 + IFSTDS ISCNDg-..1900 + lSCNDS ITHRDS=l 900 + l'l"HROS ILSTDS•l900 + lLSTDS YOB•1900.0 ---------If creating subfile vrite case IF (SUBSET) WRITE (lSF) + lltESN 1 LBYR, ISEX.t I RACE, lHYR, IFYR,JOBCODE, + (EXPOSURl::( I) , 1 .. 1 )3 5) ,NONR, IFSTDS, ISCNDS, l'lliRDS, ILS TDS 1 + IDYR,ICAUSE GO TO 400 c----lio ••• read a binary case 300 READ(INP,END=700)1RESN,IBYR,ISEX,IRACE 1 IHYR 1 IFYR,JOBCODE 1 + {EXPOSURE(I),l«ll35),NONR,IFSTDS!ISCNDS,ITHRDS,ILSTDS, + IDYR,ICAUSE C-----lncrement # of records read 400 NRR "' NRR + 1 c-----Male worker? IF (ISEX.NE.1) GO TO 100 C-----Yes •• ~vhite? IF (IRACE,NE,J) GO TO 100 C*****~****************************~***#***********~***** IF (NONR~LT.3) GO TO 100 IHYR = MAX(ITHRDS + 1 , IFSTDS + LATENT+ 1) IF (IHYR.LT.1947.0R.IHYR.GT.ISTDYE) GO TO 100 lFYR • MINOLSTDS,ISTDYE) c~~****~~*****x*****~*********************~*****~**x*** C-----Yes.~~worker in a desired job category? IF (STRATIOB) GALt JOBCATG (*100) C-----Worker a1ive? IF (IDYR.GE.ISTDYS.AND.IDYR.LE.ISTDYE) GO TO 500 c--------~--Yes ... define first & last years to consider IYEMP = IHYR IYTERM .. ISTDYE G-----------Process case? IF (IYEMP.GT.IYTERM) GO TO 100 E-2 • e-----------Yes GO TO 600 C-----------no ••• Define first & last years to consider 500 IYEMP = IHYR IYTERH= IDYR C-----------Process case? IF (IYEHP.GT.IYTERH) GO TO 100 C-----------Yes ••• write data for death summary on temporary file WRITE (IS4) CASE e-----lf input file is binary C-----Process case & creating subfile write selected case 600 IF (BINARY.AND.SUBSET) WRITE (ISF) IRESN,IBYR,ISEX,IRACE,IHYR,IFYR,JOBCODE, (EXPOSURE(I),I=l,35),NONR,IFSTDS,ISCNDS,ITHRDS,ILSTDS, ---End of file . 




  1ltax.(flll re<tding + latent+ 1 ,#3 reading + 1) DEAlRS FROM lung cancer (162) IN EXPOSURE CATEGORY 1 year~x(#l reading + latent+ 1 ,#3 reading + 1) 




  reading + latent + 1 ,#3 reading + 1) 




  t:"""lnB.x(#l reading + latent + 1 ,#3 reading + 1) Df.AT!IS FROM ALL CANCERS IN EXPOSURE CATEGORY 4 yenr.ooomax(~l reading + latent+ 1,#3 reading + 1) DEATHS FROM lung cancer (162} lN RXPOSURE CATEGORY 4 UNADJUSTED ONE-TAILED P-VALUE ADJUSTED ONE-TAILED P-VALUE TOTAL VARIANCE ALL NON-CANCERS (1-139,210-999) NUMBER OF DEA'IHS OBSERVED MEAN F..XPECTED MEAN TREND TEST STATISTIC UNADJUSTED ONE-TAILED P-VALUE ADJUSTED ONE-TAILED P-VALllE TOTAL VARIANCE ALL CANCERS (140-209) NUMBER OF DEATHS OBSERVED MEAN EXPECTED MEAN TRE.l'tn TEST STATISTIC UNADJUSTED ONE-TAILED F-VALUE ADJUSTED ONE-TAILED P-VALUE TOTAL VARIANCE " 


1 = 7

 17 ( 160-1 ~163 ,17 0-3 ,186-7 ,190 ,193-9)----------------------~----------------------------O.OOOOOOE+OO = 9.876519£-01 = -5.54.l386E-01 = 7 .102805E-Ol = 4.353584E-01 = 3.174370E+00 39 = l.269487E+00 = 1. 904819E+QO = -9.310567E--Ol = 8.240188E-Ol = 8.191673E-Ol = ---------------~-----~------------ 


8 = 3

 83 O.OOOOOOE+OO O.OOOOOOE+OO O.OOOOOOE+OO 5.091252E+00 5.183588E-01 3.022739E-01 8.811566E-02 5.082089E+06 O.OOOOOOE+OO O.OOOOOOE+OO O.OOOOOOE+OO 5.852285E-06 O.OOOOOOE+OO O.OOOOOOE+OO O.OOOOOOE+OO 4.413257E+l8 O.OOOOOOE+OO O.OOOOOOE+OO O.OOOOOOE+OO 1.100 943 E+OO -7. 654911E-01 -5.8232 93 E-01 -3 .04027 5E-01 = 


Birth Date Hire Date Termination Date Death Date

  
						-19-
			PREPARING TO USE HOX		
	(!)	I	1927	1950	1953	-999
	( 2) (3)	I I	1925 1920	1950 1951	-999 1954	-999 s 1954
	(4)	I	1917	1951	1952	1953
	ADJUSTED ONE-TAILED P-VALUE: ( 5) I ( 6) I	1915 This will be the unadjusted p-value gLven 1952 -999 -999 1912 1952 -999 -999
	• These are the Mantel-Haenszel test statistics for assessing whether the relative risks for categories j differ significantly TEST STATISTICS: from unity. See T defined by equation (3) on page 13. (7) I 1910 1953 1955 1955 above plus a term based on the third and fourth moments of the grouped exposure distributions. The adjustment is obtained from an Edgeworth series expansion as described in [12], and should provide a more accurate assesmnent ( 8) I 1905 1953 1954 1955 (NOTE: Part 1 of this section is a discussion of basic techniques used in ( 9) I 1900 1954 -999 -999 computer-based population studies. You may wish to skim the material or simply skip to Part 2, page 25) (10) I 1895 1954 -999 -999
	of the p-value when exposure distributions deviate substantially from
	ADJUSTED ONE-TAILED F-VALUE: normality. This adjustment is probably not adequate when extreme outliers are This will be the unadjusted ~value given
	present; in fact, adjusted p-values which exceed unity may occasionally
	result. PART 1. TilE CASE AS TilE UNIT OF ANALYSIS		
	J	j j				
			2		2	
	TOTAL VARIANCE:				

[12]e pl1.15 a term baaed on the third and fourth m.o~nents o-f the exposure distributions.The adjustment-is obtained from an Edgeworth aeries expansion as described in[12], and should provide a more accurate assessment of the p-value when exposure distributions deviate substantially from normality.Ibis adjustment is probably not adequate when extreme out-liers are present; in fact, adjusted p-values which exceed unity may oeeasionally result.RESULTS OF ANALYSES BASED ON GROUPED EXPOSUREDATA {see page 38 of Appendix H for example) OBSERVED FRt.XJUENClES: category j. EXPECTED FREQUENCIES: 0 = the number of deaths observed in exposure j E ,., the number of deaths expected in exposure J cstegory j if death rates do not vary by exposure. See equation (1} OP page 12. -17-RELATIVE RISKS: These are the Mantel-Haenszel relative risks of category j relative to the pooled remaining categories. These risks are the IIIIRR given by equation (2) on page 13. J j UPPER AND LOWER BOUNDS FOR TilE RELATIVE RISKS: These are the 95% confidence limits obtained by applying the test based procedure of Miettinen [13] and are given by equation (4) on page 13. NUMBER OF DEATIIS: d OBSERVED MEAN SCORE: Similar to the observed mean based on ungrouped exposure data but with scores S replacing the exposure values, given by J Sum SO/d. j j j EXPECTED MEAN SCORE: Similar to the expected mean based on ungrouped exposure data but with scores S replacing the exposure values, given by J Sum S E /d. Sum d [Sum s p /P -(Sum s p /P ) I i TREND TEST STATISTIC: The statistic used to test for an association of exposure and mortality from the cause of interest. See Y , equation (6) on s page 14. UNADJUSTED ONE-TAILED P-VALUE: This is the p-value for the test for trend and will be the probability that a standard normal variable exceeds Y CHI-SQUARE TEST FOR HOMOGENEITY (J-1 DEGREES OF FREEDOM): This test statistic ~s designed to detect 2 overall deviations of observed and expected deaths. See the definition of X given in equation (5) on page 14. A case consists of all the information gathered about a particular individual. Each unit of information is called a variable, and each case within a study group contains one value for each of these variables. For instance, the study group sample illustrated Ln Figure 1 (page 20) contains a unique research ntDD.ber; birth, hire, termination and death dates; sex, race, job and cause of death codes; and the amount of exposure received annually in the years 1950 thru 1955. The case of every other individual in this study group would also consist of these same variables in the same order. Research # Record # Research # Record # Sex 
Code Race Code Job Code Cause Of Death Code

  
	(!)		2	I	I	2	-99
	( 2)		2	I	I	2	-99
	(3)		2	2	I	4	162
	( 4)		2	I	2	3	151
	( 5)	913 57 91	2	I	I	I	-99
	( 6)		2	I	I	I	-99
	(7)		2	I	2	2	410
	( 8)		2	2	I	4	530
	( 9)		2	I	I	I	-99
	(IO)		2	I	I	3	-99

Research ift Record II1950 Exposure 
1951 Exposure 1952 Exposure

  
	(!)	3	01500	00700	01800
	( 2)	3	02100	01300	02300
	(3)	3	-9999	00250	00200
	(4)	3	-9999	00400	01600
	( 5)	3	-9999	-9999	00100
	( 6)	3	-9999	-9999	00150
	(7)	3	-9999	-9999	-9999
	( 8)	3	-9999	-9999	-9999
	( 9)	3	-9999	-9999	-9999
	(I 0)	3	-9999	-9999	-9999

Research II 
Record :IJ 1953 Exposure 1954 Exposure 1955 Exposure

  
	(!)	4	01200	-9999	-9999
	( 2)	4	01700	01400	01800
	(3)	4	00300	00500	-9999
	( 4)	4	-9999	-9999	-9999
	(5)	4	00150	00100	00100
	( 6)	4	00000	00200	00150
	(7)	4	02300	03100	01700
	( 8)	4	00300	00250	-9999
	( 9)	4	-9999	00100	00150
	(IO)	4	-9999	01100	01600

FIGURE 1. SAMPLE STUDY GROUP 


  more efficient method of scaling may be used if the exposure variables are recorded without decimal points, i.e., as integer values. For instance, 


			-26--27-
			USING MOX
	to scale the exposure data in our sample it is only necessary to modify the
	format used to read it. VARIABLE DEFINITIONS	Reading each variable as an (FS.3) value rather
	than as an (FS.O) value is equivalent to dividing the values by 1000. Using HOX requires an understanding of the use of several input variables
	which are defined either in a specification session (see Step 4, page 37) or
	in the SELECT routine (see Step 2, page 31). Generally those variables that
	Normally data are read from a disk file. If the data reside on a are fixed for a particular run, i.e. do not vary from worker to worker, are
	storage medium other than disk, they should be copied there before defined in the specification session, while those that must be defined for
	processLng. each worker are determined in the SELECT routine. This, of course, requires sufficient disk storage to contain
	the entire study group in one file. If this requirement creates a problem,
	the data may be read directly from magnetic tape. This approach is not The following fixed variables are defined in the specification session:
	ISTDYS, recommended, unless necessary, due to the penalty extracted ~n MOX a four digit calendar year indicating the first year for which exposure data is to be considered.
	processing time. ISTDYE, a four digit calendar year indicating the final year to be included
		in the study.
			(page 20) bas radiation
	PRIMDESC,	choice of pr~mary control variable.
	exposure recorded in millirems.	Dividing each value by 1000 will convert
	SECDESC,	choice of secondary control variable.
	the readings into rems.	This will allow exposure readings to be accurately
	STRATCYR,	option for controlling by calendar year.
	accumulated over a larger number of cases. Scaling ~s performed by the user by
	STRATI.EN,	option for controlling by length of employment.
	manipulating the data after it is read, but before it is processed by MOX.
	STRATFUE,	
	STRATJOB,	
	STRA11JSE,	
	LATENT,	

A 
STUDY GROUP FORMAT Record If

  MOX approach is illustrated in this manual by using data fram a study of mortality at the Hanford nuclear facility.The Hanford plantt located in southeastern Washington State, has employed many ~orkers in jobs involving some exposure to radiation.The initial purpose of this plant was the manufacture, chemical separation and purification of plutoniu~.In addition, research of a diverse nature and, more recently, power generation have been conducted at the facility.Employment records, which include data on age, sex, race, dates of employment and termination?and job classification, have been kept on 28~683 male workers and 11,190 female workers employed between 1944 The number of words of memory required to perform a particular task is printed for each MOX analysis.lf this Figure should exceed the preset value of five hundred thousand {see Appendix C), do the following: 1) Set the SPACE parameter in COMMON.MOX to a value greater than the number of words required~The following is an alphabetical listing of the software modules in MOX. 


	2 ,5. 15 would not be a correct way. PROMPT: (UPPER CASE) response: {lower case) REPORT FILE NAME? ~ny valid file name up to 80 characters TASKNAME? 1 to 80 cha'tacters STARTING YEAR OF S'DJDY? any 4 digit integer ENDING YEAR OF STUDY? 4 digit integer< or ,.. starting year of study + 50 BINARY INPUT FILE? yes OR no INPUT F lLE l>IA.liE? any valid file n~e up to 80 characters CREATING A SUBFILE? yes OR no (if respon•e i• yea then:) SUBFILE NAME? any valid file name up to 80 characters PRIMARY CONTROL VARIABLE'! SPECIFY age • calendar year 1 OR follow-up time # OF PRIMARY CUTPOINTS? an integer between 2 & 49 inclusive EQUAL PRIMARY CUTPOINT INTERVALS! yes OR no PROMPT: (UPPER CASE) response: (lower case) (if response is ye$ then:) FIRST PRIMARY CUT POINT, LAST PRIMARY Cti'IPOINT? (last-first integer values)/ (# primary cutpoints-1) must "' an integer (if response is no then:) PRIMARY CUTPOINTS? ascending integer values separated by commas SECONDARY CONTROL VARIABLE? SPECIFY age • calendar year , OR follow-up time t OF SECONDARY CUTPOINTS? an integer between 2 & 15 inclusive = an integer (if response is no then:) SECONDARY CUTPOINTS? ascendin& integer valu~s separated by commas (prompt not issued if calendar year has been selected as the primary or secondary control variable) STRATIFY BY CALENDAR YEAR? Called From: SELECT PROMPT: (UPPER CASE) CALENDAR YEAR CUTPO!NTS? ascending integer values separated by commas CALENDAR YEAR DESCRIPTION FOR FOR GROUP XX? 1 to 24 ch~racters STRATIFY BY LENGnt OF EMPLOYMENT? yes OR no (if response is yes then;) # OF LENGTH OF EMPLOYMENT Cl:'TPOINTS? an integer be tween 1 & 14 inclusive LENGTH OF EMPLOYMENT CUTPOlNT(S)? ascending integer values separated by commas LENGTH OF F~LOYMENT an integer betveen 1 & 14 inclusive FOLLOW-UP CUTPOINTS? ascending integer values PROMPT: (UPPER CASE) response: (lower case) MODULE: APPENDIX A. IMPLEMENTING MOX MODULE~ RATCB liODtiLE: DEA1RIND Purpose: MODULE: LEVELS MODULE: NUMBER MODUL£; PRC!iPT MODULE: MODULE: STRATTAB MODULE: TOTALS Record # Length Specification Columna separated action: RPTNA>f£ names file to contain analysis -39-results TASK:NAME identifies analysis results ISTDYS specifies first calendar year for which exposure data is to be considered IS'IDYE specifies final calendar year to be included in the study BINARY specifies input form lNPNAME names study group data file SUBSET if response is yes § creates a binary subfile of study group data SUBFILE names subfile to create PRIMDESC specifies primary tabling va'tiable { rovs) NPB.IM divides primary variable into NPRIM + 1 categories (rows) EQPCI if response is yes, divides primary variable into I PRIM -40-determines primary categories using NPRIM & these cutpoints I PRIM defines primary categories SECDESC specifies secondary tabling variable (columns) STBAll:;YR if response is yes, stratifies workers by calendar year NCYR atratifies workers into NCYR + 1 -41--42-VARIABLE OR ARRAY NAME: action: -43-VARIABLE OR ARRAY NAME; action: -44--45-A-1 A-2 B-1 B-2 ll-3 B-4 B-5 B-8 ll-9 D-2 E-10 B-7 VARIABLE OR ARRAY NAME: action: Field Identification ICYR defines calendar year levels CYRDESC identifies calendar year levels STRATI..EN if response is yes, stratifies workers by length of employment NLEN stratifies workers into NLEN + 1 levels ILllN defines length of employment levels LENDESC identifies length of employment levels STRATFUE i£ response is yes, stratifies workers by follaw~up NFUE stratifies workers into NFUE + 1 STRATIFY BY JOB CATEGORY? yes OR no (if response is yes then:) f. OF JOB CATII>ORIES? an integel" between 1 & 15 inclusive # OF CODES lN JOB CATEGORY XX? an integer between 1 & 15 inclusive CODES IN JOB CATEGORY XX? integer values separated by commas DESCRIPTION FOR JOB CATEGORY X.X1 1 to 24 characters STRATIFY BY USER-DEFINED CONTROL VARIABLE(S)? yes OR no CUTPOINTS? an integer between 1 & 14 inclusive CONTROL VARIABLE X CUTPOINT{$)1 ascending integer values STRA't.JOB if response is yes. stratifies workers by job category NOCC stratifies workers into NOCC levels NCODES specifies f of codes for each of NOCC levels IOCC defines codes for each of NOCC levels OCCDESC identifies job category levels STRAWSE if response is yes~ stratifies workers by these control variables NUSE specifies # of these control variables to stratify by NUS EX stratifies workers into NUSEX + 1 levels IUS EX defines control variable X levels I OF EXPOSURE CUTPOINTS? an integ~r between 1 & 14 inclusive EXPOSURE CUTPOINT(S)? ascending real values separated by ContWlS DESCRIPTION OF EXPOSURE UNITS7 1 to 24 characters LATENCY PERIOD FOR EXPOSURE? 0 or a positive integer by which exposures are to be lagged {prompt not issued if controlling only for primary & secondary variables) FRUiT TABLES BY PRIMARY & SECONDARY CATEGORIES ONLY? yes OR no PRINT TABLES OF DEA'lllS FROM ALL CAUSES? yes OR no PRINT TAHLES OF DEATHS FROM ALL MALIGNANT NEOPLASMS? yes OR no PRINT TABLES FOR OTHER SPECIFIED CAUSES OF DEATil? yes OR no NEXP stratifies workers into NEXP + 1 exposure categories REXP defines exposure categories EXPDESC identifies exposure units LATENT specifies # of years to lag exposure TABSTl<AT if response is yes, tables are not printed for each level of specified stratification (this does not affect death analyses Tesults) TAJDIH if response is yes, prints deaths from !CD coded causes 0 -999 inclusive TABDTilMN if response is yest prints deaths fram ICD eoded causes 140 -209 inclusive TABDTHSPC pTints deaths frcm specified ICD eoded causes (if response is yes then:) # OF OntER DEATH TABLES? lor2:or3 ~ OE ICD CODE 1\ANGES IN DEATH TABLE X 1 an integer between 1 & 15 inclusive LOWER~UPPER RANGE OF CODES IN DEATH TABLE X? non-descending integers between 0 6 999 inclusive DEATH TABULATION DESCRIPTION FOR TABLE X? 1 to 80 characters PRINT POWER TOTALS? yes OR no PRINT UNGROUPED EXPOSURE ANALYSIS RESULTS? yes OR no PRINT GROGPED EXPOSURE ANALYSIS RESUL'IS? yes OR no (if response is yes then:) ASSIGN SCORES TO ntE F.XPOSURE CATEGORlES? yes OR no NDTHGRPS specifies # of other death tables co print NICDS specifies I of lCD cQde ranges for each of NDTHGRPS tables I .RANGES defines ICD code ranges for each of NDTHGRPS tables DTHDESC identifies each of b~THGRPS tables. TAB POW if response is yes, prints tables of exposure to the 1 s:t, 2nd, 3t'd & 4th powers by primacy & secondary categories only INDIV if response is yes, prints analyses of ungrouped exposures GROUPED if response is yes 1 prints analyses of grouped exposures EXPOSURE CATEGORY SCORES? {f of exposure cutpointe + 1) real values separated by eommas COMMAND FILE NAME! any valid file name up to 80 characters P"ERFOBM INTERACTIVE ANALYSIS PER SFF.ClFlCATIONS? yes OR no SCORES defines exposure category scores COHNAME names command file & creates it Al!ORT the specification phase is now complete, if response is yes an interactive analysis begins and 1979. study cutoff date <January 1, 1979), whichever occurred first. In many instances, the follow-up period includes many years after termination of Follow these steps to implement MOXon your VAX computer system~ Step 1. MOUNT THE MOX SOURCE TAPE mount mt?: max tape (1 is your tape drive designator, e.g. 0 or 1) Step 2. CREATE A SUBDIRECTORY cre<~.te/directory [?.mox] (? is your directory name) Step 3. COPY MOX TO SUBDIRECTORY set default [?.mox] (? is your directory narne) dismount tape Step 4. COMPILE MOX @compmox Your subdire~tory should now contain: (43) *.FOR COMP!IOX.COM :BASNER.DAT MOX~DOC (43) *.OBJ COMMO~.MOX tlNKMOX.COM LINKMOX.OPT (This file is used to display a banner on the MOK output. The file may be deleted, or moved to a different direCtory if a banner is not desired.) (This file contains the document you are reading.} 2} Re-compile MOX by entering: @compmox 3) Re-link MOX by entering: @linkmox Allocating memory The function of each module is briefly described and its entry points and external ~eferences are noted. MODULE: Alternate Entry Points: Purpose: Calle~ From: Calls To: MODULE: Alternate Entry PointS: Purpose: Called From: Calls To: MODULE: Purpose: Called From: References To: AGEPRIH CYPRIM, FUPRIM Detennines pd.maey group for age, calendar year or follow-up time PRIHSEC AGESEC CYSEC,FllSEC Determine~ secondary group for age, calendar year or follow-up time PRIMSEC ALPHAP Procpts for a character message of a specified length PROMPT NOFCHAR Purpose: Called From: Calls To: References 'to: MODULE: Purpose: Called From;. Calls To: MODULE: Purpose: Called From: Calls Io: References To: MODULE: Purpose: Called From: Calls To: References To: Reads processing spec1tLcations from a command file created by MOX~ Because the file may be edited by the user, it is screened for gross errors. MOX PRIHCV! SECCV NOFCUAR CAUSES Defines titles for cause of death categories COMMAND Creates a command file from processing spec if ica tions PROMPT DEATHGRP Generates a sum.mary based on grouped exposure MOX GlNDEX~lNVERSE,L£VELS,PRIMSEC~SEilV2,SETRV4 NOFCHAR,NORMAL Purpose~ Called From: Calls To: References To: MODt'L£: Purpose: Called From: Calls To~ MODULE: Purpose: Cal led from: Calls. To: MODULE: Alternate Entry Point: Purpose: Called From: Calls To: Generates a summary based on ungrouped exposure MOX AINDEX,LEVELS,PRIMSEC,SETIV2,SETRV4 NOFCHAR,NORMAL DIALOGUE Defines prompts & helps PROMPT DIGITS Determines # of digits to allow for printing a real number STRATTAB,TABL£S GHWEX A INDEX Determines control level index DEATHGRP,DEATHI~~,PROCESS,STRATTAB, TABLES Referen~ed From: References To: MODUI.E: Purpose: C.a lled From: References To: MODULE: Purpose: Called From: Calls To: MODULE: Purpose: Called FrWI: Calls To: HODULE! Purpose: specified -range PROMPT NOFCHAR lN'IFREEP Prompts for a series of integer values separated by commas PROMPT NOFCHAR INTGTAB Prints integer table plus simple totals STRATTAB,TABLES SETIV4 lh'VERSE Inverts n-th order m~trix by the Jordun elimination method DEATHGRP JOBCATG Determines job category for a specified job code Purpose: Called From: Calls To: MODULE: Purpose: Calls To: References To: MODULE; Purpose: Referenced From~ References To: MODULE: Purpose: Referenced From: References To: Determines control variable levels DEATHGRP,DEATHIND,PROCESS MOX Serves as the control point for all processing of a study group. Storage is allocated & supporting modules are referenced. PROMPT.SELECt,SETIV4)SETRV4 1 STRATTAB~TABLES SECOND NOFCRA& Determines the i of characters in a ceasage ALPHAP,BATCH~COMMAND,DEATHGRP,DEATHIND, lNTEGERP~INTFREEP)PROMPTtREALFREEP,STRATTAB, TABLES,YESNOP NORMAL Determines p-value of a normal test statist.ic DEATHGRP,DEATHIND Purpose: Called From; Calls To: MODULE: Alternate Entry Point: Purpose: Called From: Calls To: Purpose: Called Fraro: Calls Io: MODUl..E: Purpose: Called From: Calls To: Numbers group description prompts COMMAND,PROHPT PR!MCV SECCV Determines primacy & secondary control variables lATCH~ PROMPT PRIMSEC Determines primary & secondary group OEAniGRP ,DEAW.lND, PROCESS AGEPRIM,AGESEC,CYPR!H,CYSEC,FUPRIM, FUSEC PROCESS Allocates person-years & exposures by category to generate risk strata MOX AlNDEX,GINDEX~LEVELS,PRIMSEC Purpose: Called From: Calls To: References To: MODULE: Purpose: Called From: References To: MODULE: Purpose: Called From: Calla To: MODULE: Purpose! Called From: Calls To: Prompts user for processing specifications 6 screens them for errors HOJ< ALPHAP, COMMAND ,DlALOGUE,INTFREEP, NUMBER, PRIMCV,REALFREEP,SECCV tNTEGERP~NOFCHAR,YESNOP RE.Al.FREEP Prompts for a ~eriea of real values separated by conu:nas PROMPT NOFCHAR REAL TAB Prints real table & mean totals STRATTAB>TABLES SETRV4 RE.Al.WTAB Prints real table & weighted mean total& STRATTAB SETR\'4 Purpose: Referenced from: References to: MODULE: Purpose: Called :f'rQm: Calls To: MODGLE: Purpose: Called From: Calls To: MODULE: P-urpose: Called From: Calls Io: MODULE: Purpose: cpu library routine HOX SELECT Selects eases & creates subfiles per u&er specifications MOX JOSCATG,SE'I'RV4 SETIV2 Initializes an integer*2 vector SETIV4 Initializes an integer*4 vector MOX~RISKIAB,TRISKTAB Purpoee! Called From: Calls To: References To: MODULE: Purpose: Called From: Calla To: MODULE: Purpose: Called From: Calls To: References To: MODULE: Purpose: Called From: Calls To: Purpose: Prints tables of totals for output stratified Prints tables stratified by all specified control variables MOX AINDEX,DIGlTS,GINDEXtiNTGTAB,REALTAB,R!ALWTAB, STRA'I'IOT, VARTAB NOFCilAR STRATTOT Prints tables of totals for output stratified by all specified control variables STRATTAB TINTGTAB, TREA.LTAB 'IABLES Prints tables stratified by Pl'itnary & secondary variables only TOTALS NOFCHAR TINTGTAB Prints total integer table plus simple totals S'IRAT'I'O'I, TOTALS SEIIV4 Called FrO'Ill: Calle To: MODULE: Purpose: Called From: Calls To: MODULE: Purpose: Galled From: Calls To; MODULE: 2urpose: Referenced From: References To: by primary & secondary variables only TABLES TREALTAB TREALTAil Prints real total table plus simple totals STRATTOT, TOTALS SETRV4 VARTAB Prints exposure variance table STRATTAB 3 3 5 5 F5.0 1 5 196 7 Exposure in centirems •• 6 -10 1968 '' INTEGER*4 SPACE, YRS PARAMETER (CYRcl5,DTHG=5,FUE=lS,LEN=l5,NCODsl5,NDC=86, + NDL=24,NICR=l5,NQH=77,NRL=80,0CC=l5,PRIM=50, • • + + + • SEC=l6,SPACE=500000,STA•l5,US~l5,XPO=l5, YRS•SO) PARAMETER (NCODOCC=NCOD*OCC,NICR2DTHG=NICR*2*DTHG) COMMON /CASE / EXPOSURE(YRS),IBYR,ICAUSE,IDYR,IFYR, ** ** IHYR,IRACE,ISEX,IUSEVl,IUSEV2,1USEV3, IUSEV4,IUSEVS,IYEMP,IYTERM,JOBCAT, JOBCODE COMMON /CENTER/ NCCYR(CYR),NCFUE(FUE),NCLEN(LEN), + • • • • + + COMMON /!DENTS/ + • + + + COMMON /INDEX / + + COMMON /LIMIT / + + + + • ABORT,ASCEND,ASSIGNSCR,BINARY,EOF,EQPCI, EQSCI, GROUPED, INDIV, INTACT, ISTDYE, ISTDYS, LAG,LATENT,MOMENTS,NDTHGRPS,NPRIMC,PNL,PRIMAGE, PRIMCY,PRIMFU,PRIMOWN,SECAGE,SECCY,SECFU,SECOWN, SENSITIVE, STRAT ,STRATCYR, STRATFUE, STRATJOB, STRA TI.EN ,STRATSTA, STRATIJSE, STRAl\JSEl , STRA1l.ISE2, S TRA 1l.ISE3, S TRATUSE4 ,STRATUSES, SUBSET, TAB, TABDTH, TABDTHMN,TABDTHSPC,TABPOW,TABSTRAT BLANK,DASH,DASHES(NRL),CYRDESC(CYR), DTHCTGS(NDC},DTHDESC(DTHG),EXPDESC, FUEDESC(FUE},LENDESC(LEN),OCCDESC(OCC), PRIMDESC,SECDESC,STADESC(STA),USElDESC(USE), USE2DESC(USE) ,USE3DESC(USE),USE4DESC(USE), USESDESC(USE) IAGE,ICYEAR,ICYRX,IFUEX,IFUP,IGRPX,ILENX,INDEXA, INDEXG,IOCCX,ISTAX,IUSElX,IUSE2X,IUSE3X,IUSE4X, IUSESX,LENGTH,NPRIMG,NSECG EGMN(XPO),ICYR(CYR),IFUE(FUE),ILEN(LEN), + TOTAL( SEC+l), TO'IWT(SEC) COMMON /SIZE I INC3D,NCYR,NEXP,NFUE,NGEXP,NLEN,NOCC,NPRIM, + NSEC,NSTA,NUSE, NUSEl ,NUSE2 ,NUSE3 ,NUSE4 ,NUSES COMMON /SPACE / BUFR(SPACE) COMMON /TALK / AGE(2),AID,AIDS(NQH),Cl,C2,CUE,CUES(NQH),CY(2), + FU(2) ,OWN(2),RESPOND(NRL),SPEAK(NRL),TYPE + + + + + + + + + + + + + + + + + + + + + + COMMON /TIME / CPU,ELAPSED COMMON /UNITS/ COM,INP,IPR,ISF,IS4,ITY,IWF COMMON /WHEN / DDMHMYY,HHMMSS REAL*4 CASE(YRS+l7),NORMAL EQUIVALENCE (CASE,EXPOSURE),(RESPOND,RESPONSE) INTEGER*2 LOGICAL*l IS4,ITY, IUEGP,IUL,IUSEl,IUSE2,IUSE3,IUSE4,IUSE5,IYEMP, IYTERM,JOBCAT,LAG,LATENT,LENGTH,LMSG,NCCYR,NCFUE, NCH,NCLEN,NCOCC,NCODES,NCPRIM,NCQ,NCR,NCSEC,NCSTA, NCUSEl,NCUSE2,NCUSE3,NCUSE4,NCUSE5,NCYR,ND,NFUE, NGEXP,NICDS,NLEN,NOCC,NOFCHAR,NOV,NPRIMG,NSECG, NSECPR,NSTA,PRIMPR,SECPR ABORT,ASCEND,ASSIGNSCR,BANNER,BINARY,EOF,EQPCI, EQSCI,GROUPED,INDIV,INTACT,HOMENTS,PNL,PR!MAGE, PRIMCY,PRIMFU,PRIMOWN,SECAGE,SECCY,SECFU,SECOWN, SENSITIVE, STRAT,STRATCYR, STRATFUE,STRATJOB, STRATLEN, S TRATSTA, STRATUSE, STRATUSEl ,STRA TIJSE2, STRATUSE3, STRATUSE4, S TRATIJSE5, SUBSET, TAB, TABDTH, TABDTHMN,TABDTHSPC,TABPOW,TABSTRAT,YESNOP AGE*J,AID*(NRL),AIDS*(NRL),BLANK,Cl,C2, COMNAME*(NRL),CUE*(NRL),CUES*(NRL),CY*l3, CYRDESC*(NDL),DASH,DASHES,DDMMMYY*9,DTHCTGS*(NRL), DTHDESC*(NRL),EXPDESC*(NDL),FU*l4,FUEDESC*(NDL), HHHMSS*8,INPNAME*(NRL),LENDESC*(NDL),LINE*l32, OCCDESC*(NDL),OWN*3,PRIMDESC*(NDL),RESPOND, RESPONSE*(NRL),RPTNAME*(NRL),SECDESC*(NDL),SPEAK, Specification Columns Field Identification I 19 I -9 Research # I F7.3 10 -16 exact Birth Date -1900 I I II 17 Sex I I II 18 Race I F7 .3 19 -25 exact Employment Date -1900 I F7.3 26 -32 exact Termination " " I l II 34 Job Category code I 48 -52 1945 " I 53 -57 1946 " I 58 -62 1947 " I 63 -67 1948 " I 68 -72 1949 " I 73 -77 1950 " Record if Length Specification Columns Field Identification 2 F5.0 I 5 1951 Exposure Ln centirems 2 " " 6 -10 1952 " 2 " 11-15 1953 " 2 " 16 20 1954 " 2 " 21 25 1955 " 2 " 26 -30 1956 " 2 " 31 35 1957 " 2 36 -40 1958 " 2 41 -45 1959 " 2 " 46 50 1960 2 " 51 -55 1961 2 " 56 -60 1962 2 " 61 65 1963 2 " 66 -70 1964 2 " 71 -75 1965 2 " 76 80 1966 3 3 3 3 3 3 3 3 3 3 3 3 3 3 Record 4f 4 4 5 5 5 5 5 5 5 5 5 5 2 2 2 2 Length 7 4 " 11 -15 16 -20 1969 " 1970 " " " 21 -25 26 -30 31 -35 36 -40 41 -45 46 -50 51 55 56 60 I2 61 -62 12 63 -64 12 68 69 12 70 -71 Specifics tion Columns F7.3 I3 28 -34 42 -44 1971 11 1972 1973 1974 1975 1976 1977 1978 " # of Exposure Readings 1st Year Of Exposure -1900 STADESCLength I F5.0 43 -47 1944 Exposure in centirems 3 2 12 66 -67 2nd "
	equal sized categories levels
	Calls to:

[16]16]E OR ARRAY NAME: action: EQUAL SECONDARY CUTPOINT lNTERV ALS? yes OR no (if response is yes then:) FIRST SECONDARY CUTPOINT 1 LAST SECONDARY CUTPOINT?(last-firstintegervalues)/(#secondary cutpoint£-1) must yes OR no (if response is yes then:) .iffOFCAlENDARYEARCUTPOINTS?anintegerbetween 1 & 14 inclusive: VARlAlSLE OR ARRAY NAME: action: NSEC divides secondary variable into NSEC + 1 categories (columns) EQSCI if response is yes~ divides secondary variable into equal si%ed categories ISEC determines secondary categories using NStc & these cutpoints ISEC defines secondary catego-ries response: (lover case) DESCRIPTION FOR GROUP XX? 1 to 24 chB.racters(prooptnotissued if follow-up time has bee~ selected as the primary or secondary control variable) STRATIFY BY FOLLOW-UP SINCE YEAR OF EMPLOYMENT? yes OR no (if response is yes then:) V OF FOLLOW-UP CUTPOINTS?bycommasFOLLOW-UPDESCRIPTIONFOR GROUP XX? 1 tc 24 cbaracteu VARIABLE OR ARRAY NAME: levels IFUE defines follow-up levels FUEDESC identifies follow-up levels PROMPT: (UPPER CASE) response: (lower case) (if response is yes then:) # OF USER-DEFINED CONTROL V ARIA.B LES? an integer between 1 & 5 inclusive t OF CONTROL VARIABLE X separated by commas CONTROL VARIABLE X DESCRIPtlON FOR GROUP XX? 1 to 24 characters VARIAnLE OR ARRAY NAME: action: USEXDESC identifies control variable X levels PROMPT: (UPPER CASE) response: {lower case) ASSIGNSCR if response ~s yes, specified scores vill be substituted for exposure category means in the grouped exposure analysis PROMPT: (UPPER CASE) response: (lower case) (if response is yes then:) APPLICA'I'lO:N TO WORKERS AT A NUCLEAR FACILIIY The Relatively good quantitative measurements of radiation exposure~ obtained from personal dosimeter readings.areavailableforeachHanford worker for each year of employment at Hanford.Although these data include annual measurements of exposure to se~eral types of ionizing radiation, only whole body penetrating radiation is considered here.Such exposure is measured in rem, a no:nnalited sum of several radiation typ.es.The study population for the sample analysis in Appendix H consists of 13,462 white males with at least three dosimeter readings.(Thiscriterion~sslightlydifferentfr~ that used in earlier ana)yses of this population[15,16]).The analyses include the experience of workers until death or the ~ployment at Hanford.A more complete description of the Hanford data as well as interpretation of results of analyses are given in [15} and[16]. ~n this fashion allovs MOX to divide all specified control variables into many more categories than would otherwise be possible; even on a VAX (vhen configured in the usual fashion), APPENDIX B. MOX MODULES INTEGERP Prompts for an integer value within a BATCH~ CAUSES ,DEA'lltGRP, DEATHIND, PROCESS• Called From: Calls To: SECOND Dum~ function to compensate for lack of SETRV4 Initializes a real*4 vector DEATHGRPlDEATHI~~,MOX,PRIMTAB, SELECT~TABLES,TPR!Y.TAB,TRISKTAB MOX AINDEX,DIGITS)GINDEX,INTGTAB.REALTAB,SETRV4) YES~OP Prompts for response of yes or no PROMP'I NOFCHAR APPENDIX C. MDX INCLUDE STATEMENTS INTEGER*2 CYR,DTHG,FUE,LEN,NCOD,NCODOCC,NDC,NDL,NICR, + NICR2DTHG,NQH,NRL,OCC,PRIH,SEC,STA,USE,XPO + NCOCC(OCC) ,NCPRIM,NCSEC,NCSTA(STA), + NCUSEl(USE),NCUSE2(USE),NCUSE3(USE), + NCUSE4(USE),NCUSES(USE),NSECPR, + PRIMPR(PRIM*2) ,SECPR(SEC*2) COMMON /DEATHS/ AMU2(NDC),EXSUM(NDC),IRANGES(NICR,2,DTHG), + ND(NDC),NICDS(DTHG),OSUM(NDC),SCORES(XPO) COMMON /GOVERN/ IOCC(NCOD,OCC),IPRIM(PRIM),ISEC(SEC), ISTA(STA), IUL,IUSEl(USE) ,IUSE2(USE) ,IUSE3(USE) ,IUSE4(USE), IUSES(USE),NCODES(OCC),NOING(XPO),REXP(XPO) * The SPACE parameter may be increased (see Appendix A). **!RACE and !SEX are included for a special purpose and do not need to be de£ ined by the user C-1 COMMON /NAMES/ COMNAME,INPNAME,RPTNAHE,SUBNAHE,TASKNAME COMMON /SHARE/ IMAX,IMIN,INTEGERS(PRIM-l),IQH,ISUH(PRIM), + ITOTAL(SEC+l),IVECTOR(PRIM,SEC),LHSG,NCH,NCQ, + NCR,NOV,NRR,NRS(OCC),REALS(XPO-l),SUH(PRIM), CHARACTER COM,IAGE,IBYR,ICYEAR,ICYR,ICYRX,IDYR,IFUE,IFUEX, IFUP,IFYR,IGRPX,IHYR,ILEN,ILENX,IMAX,IMIN,INP, INTEGERS,IOCC,IOCCX,IPR,IPRIM,IQH,IRACE,IRANGES, ISEC,ISEX,ISF,ISTA,ISTAX,ISTDYE,ISTDYS,*(NDL),SUBNAME*(NRL),TASKNAME*(NRL),TYPE*S, USE1DESC*(NDL),USE2DESC*(NDL),USEJDESC*(NDL), USE4DESC*(NDL),USE5DESC*(NDL) C-2 D-1 APPENDIX D. 


  APPENDIX G. MDX COMMAND FILE (The name of this file is sample.com) separated by commas 0025,0030,0035,0036,0037,0038,0039,0040,0041,0042,0043,0044,0045,0046,0047 0048,0049,0050,0051,0052,0053,0054,0055,0056,0057,0058,0059,0060,0061,0062 0063,0064,0065,0066,0067,0068,0069,0070,0071,0072,0073,0074,0075,0076,0077 0078,0079,0080 


	E-3 F-2 G-1 G-2 G-5 G-6 G-1 G-8 G-12 G-13 G-14 G-15 G-16 G-17 G-18
	•• set indicator FORMAT(I9,F7.3,2Il,2F7.3,1X,Il,8X,7F5.2/ EOF=. TRUE. RElURN 16F5. 2/!2F 5. 2, 212 ,IX ,312/ 27X,F7.3,7X,I3) END APPENDIX F. MOX SPECIFICATION SESSION (MOX PROMPTS ARE PRINTED IN UPPER CASE) 700 800 + + $ run max online REPORT FILE NAME? TASK NAME? white males start year=max(#l reading+ latent+ 1,#3 reading+ 1) STARTING YEAR OF STUDY? 1944 ENDING YEAR OF STUDY? 1978 BINARY INPUT FILE? sample.dat CREATING A SUBFILE? SUBFILE NAME? sample.sub PRIMARY CONTROL VARIABLE? age If OF PRIMARY CUTPOINTS? 48 EQUAL PRIMARY CUTPOINT INTERVALS? no PRIMARY CUTPOINTS? 25,30,35 ,3 6,3 7 ,38,39,40 ,41 42,43,44,45,46,47,48,49,50 51 ,52,53,54,55,56,57 ,58,59 69,70 '71 ,7 2,73,74 '75 ,76,77 78,79,80 SECONDARY CONTROL VARIABLE? calendar year If OF SECONDARY CUTPOINTS? PERFORM INTERACTIVE ANALYSIS PER SPECIFICATIONS? no MOX FINISHED SUBFILE NAME? any valid file name up to 80 characters sample.sub PRIMARY CONTROL VARIABLE? SPECIFY age , calendar year , OR follow-up time age ~~ OF PRIMARY CUTPOINTS? an integer between 2 & 49 inclusive 48 EQUAL PRIMARY CUTPOINT INTERVALS? yes OR no no ascending integer values separated by commas 9999 1 to 24 characters 1 to 24 characters 1 to 24 characters CALENDAR YEAR DESCRIPTION FOR GROUP 4? FOLLOW-UP DESCRIPTION FOR GROUP 8? I to 24 characters CODES IN JOB CATEGORY 21 integer values separated by comruas 9999 # OF CODES IN JOB CATEGORY 7? an integer between 1 & 15 inclusive 01 DESCRIPTION FOR JOB CATEGORY 11? 1 to 24 characters an integer between 1 & 5 inclusive 9999 01 01 CONTROL VARIABLE 3 DESCRIPTION FOR GROUP 6? 1 to charactere CONTROL VARIABLE 4 DESCRIPTION FOR GROUP 3? 1 to 24 characters CONTROL VARIABLE 5 CUTPO!NT(S)? ascending integer values separated by commas 1 to 24 characters an integer between 1 & 15 inclusive CONTROL VARIABLE DESCRIPTION FOR GROUP 14? # OF ICD CODE RANGES IN DEATH TABLE 2? I OF USER-DEFINED CONTROL VARIABLES1 CALENDAR YEAR DESCRIPTION FOR GROUP 3? FOLLOW-UP DESCRIPTION FOR GROUP 7? I to 24 characters # OF CODES lN JOB CATEGORY 2? an integer between 1 & 15 inclusive 01 DESCRIPTION FOR JOB CATEGORY 6? 1 to 24 characters integer values separated by connnas 9999 STRATIFY BY USER-DEFINED CONTROL VARIABLE(S)? yes OR no no CONTROL VARIABLE 3 DESCRIPTION FOR GROUP 5? 1 co characters CONTROL VARIABLE 4 DESCRIPTION FOR GROUP 2? 1 to 24 characters # Of CONTROL VARIABLE 5 CUTPOINTS? an integer between 1 & 14 inclusive Ol lung cancer (162) 1 to 24 characters 1 to 80 characters CONTROL VARIABLE DESCRIPTION FOR GROUP 13? DEATH TABULATION DESCRIPTION FOR TABLE 1? CODES IN JOB CATEGORY 11? CALENDAR YEAR DESCRIPTION FOR GROUP 2? FOLLOW-UP DESCRIPTION FOR GROUP 6? I to 24 characters DESCRIPTION FOR JOB CATEGORY 11 1 to 24 characters CODES IN JOB CATEGORY 6? integer values separated by cO!!lmB.s 1 to 24 characters 9999 ¥OF CODES IN JOB CATEGORY 11? an integer between 1 b. 15 inclusive 01 DESCRIPTION FOR JOB CATEGORY 15? 1 to 24 characters CONTROL VARIABLE 3 DESCRIPTION FOR GROUP 4? 1 to characters CONTROL VARIABLE 4 DESCRIPTION FOR GROUP 1? 1 to 24 characters CONTROL VARIABLE 4 DESCRIFTION FOR GROUP 15? 1 to 24 characters 0162,0162 LENGTH OF EMPLOYMENT DESCRIPTION FOR GROUP 1? 1 to 24 characters non-descending integers between 1 & 999 inclusive separated by commas CONTROL VARIABLE DESCRIPTION FOR GROUP 12? • 10 LOWER, UPPER RANGE OF CODES IN DEATH TABLE 17 CALENDAR YEAR DESCRIPTION FOR GROUP 1? FOLLOW-UP DESCRIPTION FOR GROUP 51 I to 24 characters CODES IN JOB CATEGORY 1? integer values separated by commas 9999 I OF CODES IN JO» CATEGORY 6? an integer between 1 & 15 inclusive 01 DESCRtPTlON FOR JOB CATEGORY 101 1 to 24 characters CODES IN JOB CATEGORY 15? integer values separated by commas 9999 CONTROL VARIABLE 3 DESCRIPTION FOR GROUP 3? 1 to ~::haracters CONTROL VARIABLE 4 CUTPOINT(S)? ascending integer values separated by commas 9999 CONTROL VARIABLE 4 DESCRIPTION FOR GROUP 14? 1 to 24 characters CONTROL VARIABLE DESCRIPTION FOR GROUP 11? 1 to 24 characters #OF ICD CODE RANGES IN DEATH TABLE 17 9. 999000E+03 • 9~ 999000E+03, 9.999()00E+03, ascending integer values separated by commas 9.999000E+<l3 LENGTH OF EMPLOYMENT CUTPOINT( S)? 01 {# of exposure cutpoints + 1) real values separated by commas an integer between 1 & 15 inclusive EXPOSURE CATEGORY SCORES? 60,61,62,63,64,65,66,67,68 yes PRINT UNGROUPED EXPOSURE ANALYSIS RESULTS? yes PRINT GROGPED EXPOSURE ANALYSIS RESULTS? yes ASSIGN SCORES TO THE EXPOSURE CATEGORIES? no CO~~D FILE NAME? INPUT SPECIFICATIONS HAVE BEEN RECORDED ON sample. com CREATING A SUBFILE? yes OR no yes an integer between 1 & 14 inclusive 01 CALENDAR YEAR CUTPOINT(S)? FOLLOW-UP DESCRIPTION FOR GROUP 4? 1 to 24 characters # OF CODES IN JOB CATEGORY l? an integer between 1 & 15 inclusive 01 DESCRIPTION FOR JOB CATEGORY 5? l to 24 characters CODES IN JOB CATEGORY 10? integer values separated by commas 9999 # OF CODES IN JOB CATEGORY 15? an integer between 1 & 15 inclusive 01 CONTROL VARIABLE 3 DESCRIPTION FOR GROUP 2? 1 to characters # OF CONTROL VARIABLE 4 CUTPOINTS? an integer between 1 & 14 inclusive 01 CONTROL VARIABLE 4 DESCRIPTION FOR GROUP 13? 1 to 24 characters 1 to 24 characters 1 OR 2 OR 3 01 PO * yes yes OR no yes OR no CONTROL VARIABLE DESCRIPTION FOR GROUP 10? ASSIGN SCORES TO IRE EXPOSURE CATEGORIES? STRATIFY BY LENGTH OF EMPLOYMENT? it OF OTHER DEATH TABLES? sample. com BINARY INPUT FILE? yes OR no no INPUT FILE NAME? any valid file name up to 80 characters sample.dat ascending integer values separated by commas 9999 yes OR no no # OF CALENDAR YEAR CUTPOINTS? FOLLOW-UP DESCRIPTION FOR GROUP 3? 1 to 24 characters :{f OF JOB CAn:.GORIES? an integer between 2 & 15 inclusive 02 CODES IN JOB CATEGORY 51 integer values separated by commas 9999 an integer between 1 & 15 inclusive 01 DESCRIPTION FOR JOB CATEGORY 14? 1 to 24 characters CONTROL VARIABLE 3 DESCRlPTION FOR GROUP 1? 1 to characters CONTROL VARIABLE 3 DESCRIPTION FOR GROUP 15? 1 to 24 characters CONTROL VARIABLE 4 DESCRIPTION FOR GROUP 12? 1 to 24 characters yes yes 1 to 24 characters yes OR no yes OR no CONTROL VARIABLE DESCRIPTION FOR GROUP 9? PRINT TABLES FOR OTHER SPECIFIED CAUSES OF DEATH? PRINT GROUPED EXPOSURE ANALYSIS RESULTS? if OF CODES IN JOB CATEGORY 10? STRATIFY BY CALENDAR YEAR? FOLLOW-UP DESCRIPTION FOR GROUP 2? 1 to 24 characters STRATIFY l\Y JOll CATEGORY? yes OR no no ;ff OF CODES IN JOB CATEGORY 5? an integer between 1 6: 15 inclusive 01 DESCRIPTION FOR JOB CATEGORY 9? l to 24 characters CODES IN JOB CATEGORY 14? integer values separated by commas 9999 CONTROL VARIABLE 3 CU'IPOINT(S)? ascending integer values separated by commas 9999 CONTROL VARIABLE 3 DESCRIPTION FOR GROUP 14? 1 to 24 characters CONTROL VARIABLE 4 DESCRIPTION FOR GROUP 11? 1 to 24 characters CONTROL VARIABLE DESCRIPTION FOR GROUP 8? yes ye• 1 to 24 characters yes OR no employed less than 10 years and employed 10 or more years. yes OR no PRINT UNGROUPED EXPOSURE ANAlYSIS RESULTS? EX2. Stratify by length of employment. Divide workers into two categories: PRINT TABLES OF DEATHS FROM ALL MALIGNANT NEOPLASMS? SECONDARY CUTPOINTS? yes DEATii TABL'LATION DESCRIPTION FOR TABLE 1? lung cancer (162) PRINT P~ER TOTALS? ENDING YEAR OF STUDY? 4 digit integer< OR= starting year of study + 50 1978 (last-first integer values)/(# secondary cutpoints-1) must can integer 1960 ,1 97 0 FOLLOW-UP DESCRIPTION FOR GROUP 1? 1 to 24 characters FOLLOw-UP DESCRIPTION FOR GROUP 15? 1 to 24 characters DESCRIPTION FOR JOB CATEGORY 4? 1 tn 24 characters CODES IN JOR CATEGORY 9? integer values separated by commas 9999 I OF CODES IN JOB CATEGORY 14? an integer between 1 & 15 inclusive 01 :fi . OF CONTROL VARIABLE 3 CUTPOIN'IS? an integer between 1 & 14 inclusive 01 CONTROL VARIABLE 3 DESCRIPTION FOR GROUP 13? 1 to 24 characters CONTROL VARIABLE 4 DESCRIPTION FOR GROUP 10? 1 to 24 characters CONTROL VARIABLE DESCRIPTION FOR GROUP 7? yes ye• 1 to 24 characters PRINT TABLES OF DEATHS FROM ALL CAUSES? yes OR no yes OR no PRINT POWER TOTALS? INPUT FILE NAME? 162,16.2 FIRST SECONDARY CUTPOINT,LAST SECONDARY CUTPOINT? no yes PRINT TABLES FOR O'lliE.R SPECIF!E)) CAUSES OF DEA'lli? yes I OF OTHER DEATH TABLES? l I OF ICD CODE RANGES IN DEATH TABLE 1? I LOWER,UPPER RANGE OF CODES IN DEATH TABLE 1? TASK NAME? 1 to 80 characters white males start year~ax(#l reading+ latent+ 1,#3 reading+ 1) STARTING YEAR OF STUDY? any 4 digit integer 1944 an integer between 2 & 15 inclusive 03 yes OR no ye' FOLIDW-UP CUTPOINT(S)? ascending integer values separated by commas 9999 FOLLOW-UP DESCRIPTION FOR GROUP 141 1 to 24 characters CODES IN JOB CATEGORY 41 integer values aepara.ted by commas 9999 # OF CODES IN JOB CATEGORY 97 an integer between 1 & 15 inclusive 01 DESCRIPTION FOR JOB CATEGORY 13? 1 to 24 characters CONTROL VARIABLE 2 DESCRIPTION FOR GROUP 151 1 to characters CONTROL VARIABLE 3 DESCRIPTION FOR GROUP 12? 1 to 24 characters CONTROL VARIABLE 4 DESCRIPTION FOR GROUP 9? 1 to 24 characters CONTROL VARIABLE DESCRIPTION FOR GROUP 6? no 1 to 24 characters 1 to 00 characters yes OR no DEATH TABULATION DESCRIPTION FOR TABLE 3? PRINT TABLES BY PRIMARY & SECONDARY CATEGORIES ONLY? EQUAL SECONDARY CUTPOINT INTERVALS? {f OF FOLlDW-UP CUTPOINTS? an integer between 1 & 14 inclusive 01 FOLlOW-UP DESCRIPTION FOR GROUP 13? 1 to 24 ch.arac ters > OF CODES IN JOB CATEGORY 41 an integer between 1 & 15 inclusive 01 DESCRIPTION FOR JOB CATEGORY 8! 1 to 24 characters CODES IN JOB CATEGORY 13? integer values separated by commas 9999 CONTROL VARIABLE 2 DESCRIPTION FOR GROUP 14? 1 to Z4 eharacters CONTROL VARIABLE 3 DESCRIPTION FOR GROUP 117 1 to 24 characters CONTROL VARIABLE 4 DESCRIPTION FOR GROUP 8? l to 24 characters 10 • 11 9999,9999 an integer between 2 & 15 inclusive 1 to 24 characters 0 or a positive integer by which exposures are to be lagged non-descending integers between 1 & 999 inclusive separated by comnms ~ OF SECONDARY CUTPOINTS? CONTROL VARIABLE DESCRIPTION FOR GROUP 5? LOWER, \H'PER RANGE OF CODES IN DEA'IH TABLE 3? LATENCY PERIOD FOR EXPOSURE? # OF SECONDARY CUTPOINTS? sample.rpt EXPOSURE CUTPOINT(S)? 2:.,5.,15. DESCRIPTION OF EXPOSURE ~ITS? rem a LATENCY PERIOD FOR EXPOSURE? 10 PRINT TABLES OF DEA'DiS FROM ALL CAUSES? yes PRINT TABLES OF DEATHS :FROM ALL MALIGNANT NEOPLASMS? $ SD .MDX $ RUN MOX batch REPORT FILE NAME? any valid file name up to 80 characters sample. rpt PRIMARY CUTPOINTS? SPECIFY age , calendar year , OR follow-up time calendar year STRATIFY BY FOLLOW-UP SINCE YEAR OF EMPLOYMENT? yes OR no no FOLLOW-UP DESCRIPTION FOR GROUP 12? 1 to 24 characters # OF CODES IN JOB CA'l'fl?ORY 31 an integer between 1 & 15 inclusive 01 DESCRIPTION FOR JOB CATEGORY 3? 1 to 24 characters DESCRIPTION FOR JOB CATEGORY 7? 1 to 24 ~haracters CODES IN JOB CATEGO~ 8? integer values separated by commas 9999 CODES IN JOB CATEGORY 12? integer vs1ues separated by commas 9999 an integer between 1 & 15 inclusive 01 CONTROL VARIABLE 2 DESCRIPTION FOR GROUP 137 1 to characters CONTROL VARIABLE 3 DESCRIPTION FOR GROUP 10? 1 to 24 characters CONTROL VARIABLE 4 DESCRIPTION FOR GROUP 71 1 to 24 characters rem• 01 1 to 24 characters 1 to 24 characters an integer between 1 & 15 inclusive CONTROL VARIABLE DESCRIPTION FOR GROUP 4? DESCRIPTION OF EXPOSURE UNITS? # OF ICD CODE RANGES IN DEAn! TABLE 3? # OF CODES IN JOB CATEGORY 13? 1 to 24 characters CONTROL VARIABLE 4 DESCRIPTION FOR GROUP 51 1 to 24 characters # OF EXPOSURE CUTPOINTS? LOWERtUFPER RANGE OF CODES 1N DEA'IH TARLE 2? an integer between 1 & 14 inclusive 03 non-descending integers between 1 & 999 inclusive separated by co~s 9999,9999 ascending integer values SECONDARY CONTROL VARIABLE? CODES IN JOB CATEGORY 3? integer values separated by commas 9999 il OF CODES IN JOB CATEGORY 8? DESCRIPTION FOR JOB CATEGORY 12? CONTROL VARIABLE 2 DESCRIPTlON FOR GROUP 121 CONTROL VARIABLE 3 DESCRIPTION FOR GROUP 9? CONTROL VARIABLE 4 DESCRIPTION FOR GROUP 6? EXPOSURE CUTPOINT(S)? DEATH TABULATION DESCRIPTION FOR TABLE 2? an integer between 1 & 15 inclusive 01 1 to 24 characters 1 to characters 1 to 24 characters 1 to 24 characters ascending 2.000, real values separated by commas 1 to 80 characters s.ooo, 15.000 2. As in our examples, responses are normally the only records changed.
	FIRST PRIMARY CUTPOINT,LAST PRIMARY CUTPOINT? (last-first integer values)/(# primary cutpoints-1) must= an integer 0025,0080 1 to 24 characters FOLlOW-UP DESCRIPTION FOR GROUP 9? l to 24 characters DESCRIPTION FOR JO:B CATEGORY 27 I to 24 cheracters CODE-S 1N JOB CATEGORY 1? integer VE:luee separated by commas 9999 ¥ OF CODES IN JOB CATEGORY 12? an integer be tween 1 & 15 inclus~ve 01 # OF CONTROL VARIABLE 1 CUTPOINTS1 an integer between 1 & 14 inclusive CONTROL VARIABLE 3 DESCRIPTION FOR GROUP 7? CONTROL VARIABLE 4 DESCRIPTION FOR GROUP 4? CONTROL VARIABLE 5 DESCRIPTION FOR GROUP 11 CONTROL VARIABLE DESCRIPTION FOR GROUP 15? 1 to characters 1 to 24 characters 1 to 24 characters 1 to 24 characters

This command file could easily be modified to perform a variety of batch analyses. A few examples of changes that could be made are (altered records are indicated by an*): EX!. Specify single-year intervals for the secondary control variable. 
white males start year=max(#l reading + latent+ 1 ,#3 reading + 1) PERSON-YEARS AT RISK

  
							H-2 H-3 H-4
	4f OF SECONDARY CUTPOINTS: 03			
	EQUAL SECONDARY CUTPOINT INTERVALS: yes	
	This output* was created by submitting the command file in Appendix G as calendar year FIRST SECONDARY CUTPOINT ,LAST SECONDARY CUTPOINT: 1960 1970 age -1959 196o-1964 1965-1969 1970-TOTAL
	a batch job. The command used was: STRATIFY BY LENG'l11 OF EMPLOYMENT: no -0024 0	0		0	0	0
	0025-0029 STRATIFY BY FOLLOW-UP SINCE YEAR OF EMPLOYMENT: no 66 92 130 0030-0034 2636 1856 1146 submit sample 0035-0035 484 1048 927 STRATIFY BY JOB CATEGORY: no 0036-0036 594 1156 1157	66 2904 1238 1412	354 8542 3697 4319
	(The name of this file is SAHPLE.RPT) 0037-0037 645 1309 STRATIFY BY USER-DEFINED CONTROL VARIABLE(S): no 0038-0038 732 1339	1347 1492	1602 1774	4903 5337
	MDX STARTED AT 12:01:04 ON 4-NOV-83 0039-0039 796 # OF EXPOSURE CUTPOINTS: 03 0040-0040 853	1383 1406		1593 1658	1893 2068	5665 5985
	REPORT FILE NAME: sample.rpt EXPOSURE CUTPOINT(S): 2.000 0041-0041 850 0042-0042 852	1433 5 .ooo 15.000 1684 1428 1752	2257 2400	6224 6432
	TASK NAME: white males start year=max(#l reading+ latent+ 1,#3 reading+ 1) 0043-0043 854 1Z.07 1776 2579 6616 DESCRIPTION OF EXPOSURE UNITS: rems 0044-0044 874 1419 1769 2764 6826
	STARTING YEAR OF STUDY: 1944 0045-0045 861 LATENCY PERIOD FOR EXPOSURE: 10 0046-0046 796		1447 1403		1730 1744	2 971 3146	7009 7089
	ENDING YEAR OF SruDY: 1978 0047-0047 720 PRINT TABLES BY PRIMARY & SECONDARY CATEGORIES ONLY: no 1399 1713 0048-0048 671 1345 1663	3216 3308	7048 6987
	BINARY INPUT FILE: no 0049-0049 PRINT TABLES OF DEATHS FROM ALL CAUSES: yes 62 9 1294 0050-0050 584 123 7		1651 1635	3311 3286	6885 6742
	INPUT FILE NAME: sample.dat 0051-0051 546 PRINT TABLES OF DEATHS FROM ALL MALIGNANT NEOPLASMS: yes 1143 1589 0052-0052 476 1057 1561	3317 3277	6595 6371
	CREATING A SUBFILE: yes 0053-0053 PRINT TABLES FOR OTHER SPECIFIED CAUSES OF DEATH: yes 445 97 3 1492 0054-0054 402 887 1445	323 7 3159	6147 5893
	SUBFILE NAME: sample.sub 0055-0055 4f OF OWER DEATil. TABLES: 01 334 0056-0056 299		835 775		1370 1271	3097 3022	5636 5367
	PRIMARY OONTROL VARIABLE: age 0057-0057 292 4f OF I CD CODE RANGES IN DEA'l11 TABLE 1: 01 685 0058-0058 307 613		1173 1074	2905 2817	5055 4811
	{f OF PRIMARY CUTPOINTS: 48 LOWER,UPPER RANGE OF CODES IN DEATH TABLE 1: 0059-0059 308 55 7 0060-0060 297 485	97 6 162 162 916	2719 2551	4560 4249
	EQUAL PRIMARY CUTPOINT INTERVALS: no 0061-0061 274 DEATH TABULATION DESCRIPTION FOR TABLE 1: lung cancer (162) 452 844 0062-0062 249 428 748	2410 2258	3980 3683
	PRIMARY CUTPOINTS: 0063-0063 PRINT POWER TOTALS: yes 25 42 0064-0064 51 60 0065-0065 PRINT UNGROUPED EXPOSURE ANALYSIS RESULTS: yes 30 35 36 37 43 44 45 46 223 432 186 408 52 53 54 55 61 62 63 64 172 385 0066-0066 138 353 69 70 71 72 73 78 79 0067-0067 122 319 PRINT GROUPED EXPOSURE ANALYSIS RESULTS: yes 0068-0068 122 278 80 0069-0069 113 23 7 ASSIGN SCORES TO Til.E EXPOSURE CATffiORIES: no 0070-0070 95 200	38 47 56 65 74	39 48 664 5 97 57 66 524 477 75 443 422 379 354	40 49 58 67 76	41 2106 1950 so 59 177 7 1600 68 77 1448 1258 1134 995	3425 3141 2858 2568 2332 2080 1863 1644
	0071-0071 SPACE AVAILABLE IS 500000 WORDS 91 0072-0072 67 11225 WORDS REQUIRED FOR Til.IS RUN 166 309 136 284 0073-0073 63 I 21 236	870 7 66 666	1436 1253 I 086
	ELAPSED TIME IS 0074-0074 0075-0075	5.50	41 32		114 88		18 7 BEGIN PROCESSING WORKERS 589 145 523	931 788
	ELAPSED TIME IS 0076-0076 0077-0077	1215.94	17 9		83 57		110 END PROCESSING WORKERS 463 99 399	673 564
	0078-0078 RECORDS FOR 44502 WORKERS WERE READ 4 0079-0079 0 13462 WORKERS WERE PROCESSED 48 30 0080-0 43		81 78 215	334 273 999	467 381 1257
		187 31	36569	47340	95114	197754

4. Follow the help or rule preceding each response you change.The responses are screened for gross errors, but a strange analysis could occur if the rules are violated.You may feel more comfortable having MOX interactively prompt you for the specifications necessary to perform each analysis.In this mode, an incorrect response will not be accepted and you can take immediate action.You also have the option of performing an interactive analysis.The principal disadvantage of operating in this mode is that you must re-enter all of your specifications each time you perform an analysis.H-1 APPENDIX H. MDX OUTPUT FILE * The tables in this appendix have calendar year grouped into four categories ( -1959, 1960-64, 1965-69, 1970-) to limit the width of the output for this manual.The death analyses results presented, however, are actually based on calendar year being grouped into eleven categories ( -1944, 1945-49, 1950-54, 1955-59, 1960-64, 1965-69, 1970-74, 1975-75, 1976-76, 1977-77, 1978-).SECONDARY CONTROL VARIABLE: calendar year 
white males start year=max(#l reading + la: tent + 1 ,#3 reading + 1}

  
						H-5
	DEATHS FROM ALL CAUSES					
	age		calendar year		
		-1959	1960-1964	1965-1969	1970-	TOTAL
	-0024 0025-0029 0030-0034 0035-0035 0036-0036	0 0 1 1 I	0 0 I I I	0 0 2 0 3	0 0 4 I 0	0 0 8 3 5
	0037-0037 0038-0038	3 0	2 4	4 5	2 4	II 13
	0039-0039	2	I	3	2	8
	0040-0040	3	5	1	2	17
	0041-0041	1	4	3	4	12
	0042-0042	I	5	5	1	18
	0043-0043 004/r0044	1 5	4 6	6 ]	2 8	13 26
	0045-0045	7	6	5	6	24
	0046-0046 0047-0047	5 6	10 12	6 6	13 11	34 35
	0048-0048	5	10	4	12	31
	0049-0049	3	7	12	19	41
	0050-0050	1	7	8	19	41
	0051-0051	2	5	7	17	31
	0052-0052	4	6	12	26	48
	0053-0053	1	9	18	26	54
	0054-0054	2	12	15	19	48
	0055-0055	7	17	14	26	64
	0056-0056	3	10	17	34	64
	0057-0057	2	8	10	26	46
	0058-0058	5	7	13	36	61
	0059-0059	3	7	14	45	69
	0060-0060	6	7	15	41	69
	0061-0061 0062-0062	10 1	10 13	12 12	51 37	83 69
	0063-0063	1	1	15	47	76
	0064-0064	5	8	23	51	87
	0065-0065	8	10	16	46	80
	0066-0066	2	11	18	39	76
	0067-006)	4	13	18	46	81
	0068-0068	4	11	20	45	80
	0069-0069	4	10	16	45	15
	0010-0070	2	9	ll	48	)0
	0071-0011	5	10	16	41	72
	0012-0072	5	5	18	32	60
	0073-0073	3	8	14	34	59
	0074-0074	I	5	17	34	57
	0075-0075	1	5	l l	40	51
	0076-0076	2	6	9	48	65
	0077-0071	0	6	7	26	41
	0078-0018	0	5	6	35	46
	0079-0079	0	0	8	19	21
	0080-	0	6	22	130	158
		157	338	510	1306	2313

white males start year-max(#! reading + latent + 1 ,#3 reading + 1) DEA1HS FROM ALL CANCERS

  
						H-6
	age		calendar year		
		-1959	196D-1964	1965-1969	1970-	TOTAL
	-0024	0	0	0	0	0
	0025-0029	0	0	0	0	0
	0030-0034	0	I	I	I	3
	0035-0035	0	I	0	0	I
	0036-0036	0	0	I	0	I
	0037-0037	0	I	I	0	2
	0038-0038	0	0	0	I	I
	0039-0039	0	0	I	I	2
	0040-0040	2	2	0	0	4
	0041-0041	0	I	2	0	3
	0042-0042	0	0	0	0	0
	0043-0043	0	2	0	0	2
	0044-0044	0	0	I	2	3
	0045-0045	2	2	2	0	6
	0046-0046	I	3	I	2	7
	0047-0047	3	2	3	0	8
	0048-0048	2	I	0	3	6
	0049-0049	0	2	4	5	11
	0050-0050	I	I	I	6	9
	0051-0051	0	2	3	2	7
	0052-0052	I	0	I	2	4
	0053-0053	0	0	I	9	10
	0054-0054	I	I	6	6	14
	0055-0055	2	5	2	8	17
	0056-0056	0	3	2	11	16
	0057-005 7	0	I	4	6	11
	0058-0058	I	2	6	5	14
	0059-0059	I	2	2	13	18
	0060-0060	0	I	7	11	I 9
	0061-0061	I	3	3	10	17
	0062-0062	0	3	3	16	22
	0063-0063	2	2	3	II	I 8
	0064-0064	2	I	3	14	20
	0065-0065	2	2	2	8	14
	0066-0066	0	4	5	12	21
	0067-0067	I	4	6	11	22
	0068-0068	2	3	3	13	21
	0069-0069	2	4	0	6	12
	0070-0070	0	2	4	12	18
	0071-0071	I	2	4	4	11
	0072-0072	2	I	2	6	11
	0073-007 3	0	I	3	9	13
	0074-0074	I	0	3	6	10
	0075-0075	I	0	2	8	II
	0076-0076	I	0	0	5	6
	0077-0077	0	I	0	4	5
	0078-0078	0	I	3	9	13
	0079-0079	0	0	2	I	3
	0080-	0	0	0	14	14
		35	70	103	273	481

white males start year=max(#l reading + Intent + 1 ,t3 reading; + 1) DEATH.$ FROM lung eancer (1£2)

  
	age	calendar year	
	-1959	1960-1964	1965-1969	1970-

3 reading+ 1} EXPOSURE VARIANCES

  
					H-8
	age		calendar yea't
		-1959	1960-1964	1965-1969	1970-
	-0024	O.OOOOE+OO O.OOOOE+OO O.OOOOE+OO O,OOOOE+OO
	0025-0029	3 ,2613E-03 3~6322E-02 3.2894E-02 I. 553BE-OI
	0030-0034	4.1805E-02 I. 5133K-Ol 5.3235E-Ol 1.4320E+OO
	0035-0035	1.6 728E-01 2,6822E-0! 1.3093E+00 3.2005E+00
	0036-0036	3 .2966E-01 2.987BE-Ol !.6610E+00 4.5364E+00
	0037-0037	4,2755E-0! 3.170SE-01 I. 9473E+00 5.697!E+OO
	0038-0038	4,5HSE-OI 3.6087E-01 2.3626E+OO J.4639E+OO
	0039-0039	4.1030E-01 4.8Q4!E-01 3.0663E+OO 9.20058+00
	0040-0040	2.8865E-01 6.26018-01 3,:.032E+OO 1.08108+01
	0041-0041	3.0700E-OI 6.1114E-01 3 .9099£+00 l.2741E+OI
	0042-0042	3.0130E-01 6.65708-01 4.32648+00 l.4819E+OI
	0043-0043	2. J844E-Ol 6.07418-01 4.4958£+00 l.6860E+OI
	0044-0044	2.84228-01 6.!421E-01 4.1933E+OO 2,0292E+Ol
	0045-0045	2.7495E-Ol 5.8259E-01 3. 9994E+OO 2.2563E+OI
	0046-0046	2.8001£-01 5.5212E-Ol 3.6943£+00 2,4377E+Ol
	0047-0047	2,97!1E-01 6,1713E-01 3 .6675E+00 2.5660E+OI
	004!;-0048	2.!>811B-01 5 .8264E-01 3.1097E+OO 2.8313E+01
	0049-0049	2.4248E-OI 6.11678-01 3.7281E+OO 2.9033E+01
	0050-0050	2.3588E-01 7 .!600E-01 3.2548E+OO 3.1456E+OI
	0051-0051	2.0466E-Ol 8.3740E-01 3.24l6E+OO 3.1680E+OI
	0052-0052	2.1492E-01 8.0135E-01 3. 71778+00 3,2608E+OI
	0053-0053	2.4065E-01 7.6779E-01 3.5132E+OO 3.1654E+01
	0054-0054	2.2596E-Ol 5.3871E-01 4.0803E+OO 3 .Ol28E+01
	0055-0055	2.0934E-01 5.6263E-01 4.6281E+OO 2. 9096E+OI
	0056-0056	l.3!33E-OI 6. 7968E-01 5.0374E+OO 2.8741E+OI
	0057-0057	1.1971E-01 5.6602E-01 4.8088E+00 3.0246E+Ol
	005!;-0058	1.2H5E-Ol 6.5640E-01 5 .2696E+00 3.0460E+Ol
	0059-0059	1.6!65E-01 5.5352E-OI 3.5052E+00 2,9606E+OI
	0060-0060	1. 7631E-01 5,45 90E-01 3.3951E+OO 3.05718+01
	0061-0061	1.2339E-01 3.5769E-01 3.6630E+OO 3.36748+01
	0062-0062	L3154E-Ol 3,6191E-01 3.5616E+OO 3.4422E+01
	0063-0063	!.2470E-01 4.6343E-01 3.590IE+OO 3.65648+01
	0064-0064	1.0474E-01 5,6687E-OI 3 .8302E+OO 3.8696E+Ol
	0065-0065	1.1231E-01 5.3654E-Ol 3.4158E+OO 4.0105E+lll
	0066-0066	1.4315E-01 4.6 JI2E-01 3.!)44E+OO 3.6421E+01
	0067-0067	1.2855E-01 3.1026E-Ol 3 .44138+00 3.5!5!>E+OI
	0066-0068	1.1619E-Ol 4.1718E-(JJ 4.3574E+OO 3,3080E<{)l
	0069-0069	!.2481E-Ol 2.5522E-(JI 4.1960E+OO 3.4044E•OI
	0070-0070	1.7050E-01 2.4563E-Ql 2~ 7214:£+00 3.8467B<{)l
	0071-0071	1.8142E-01 2.9185E-01 2 .1922E+OO 3.5813E+Ol
	0072-0072	1.8590E-Ol 4.1503E-0! 1.60318+00 2.9739E+OI
	0073-0073	2.5228E-Ol 5.2528E-01 2.34008+00 2.90528+01
	0074-0074	!.6942E-01 8.5030E-01 L 7157E+OO 2.15448+01
	0075-0075	2.3682E-01 3.4308E-(Jl 1.5884E+OO !.9692E+OI
	0076-0076	4.1071E-01 3. 5499E-01 l.1876E+OO !.5645E+Ol
	0077-0077	6.4131E-01 3.1267E-Ol l.2887E+OO !.5333E+01
	0078-0078	!.1242E-01 5.8256E-Ol !.3068E+OO 1.2431E+01
	0079-0079	O.OOOOE+OO 6 .3350E-01 1.4212E+OO 6.52118+00
	0080-			
		7	17	31	97

white males start y~a~x(#l reading +latent+ 1,#Q,OOOOE+OO 1.5022E+OO 6. 7622E-Ol !. 84ll5E+OO H-9 white males start year=max{#l reading + latettt + 1~#3 reading 
+ l) PERSON-YEARS IN EXPOSURE CATEGORY 1 <2.0 rems

  
						R-10
	white males					
	age age age	-1959 -1959 -1959	calendar year 1960-1964 196)-1969 calendar year 196Q-1964 1965-1969 calendar year l96o-1964 1965-1969	1970-1970-1970-	TOTAL TOTAL TOTAL
	-0024 -0024 -0024 0025-0029 0025-0029 0030-0034 0035-0035 0036-0036 0037-0037 0038-0038 0039-0039 0040-0040 0041-0041 0042-0042 0043-0043 0044-0044 0045-0045 0046-0046 0047-0047 0048-0048 0049-0049 0050-0050 0051-0051 0052-0052 0053-0053 0054-0054 0055-0055 0056-0056 0057-0057 005&-0058 0059-0059 0060-0060 0061-0061 0062-0062 0063-0063 0064-0064 0065-0065 0066-0066 0067-006 7 0068-D068 0069-0069 0070-0070 0025-0029 0030-0034 0035-0035 0036-0036 0037-0037 0038-0038 0039-0039 0040-0040 0041-0041 0042-0042 0043-0043 0044-0044 0045-0045 0046-0046 0047-0047 0048:-0048 0049-0049 0050-0050 0051-0051 0052-0052 0053-0053 0054-0054 0055-0055 0056-0056 0057-0057 0058-0058 0059-0059 0060-0060 0061-0061 0062-0062 0063-0063 0064-0064 0065-0065 0066-006& 0067-006 7 0068-o068 0069-ll06 9 0070-0070 0071-0071 0071-0071 0072-0072 0072-0072 0072-0072 0073-0073 0074-0074 0074-0074 0073-0073 0073-0073	0 0 0 66 0 1 1 1 3 0 2 3 I 1 1 5 7 5 6 5 3 7 2 4 1 2 7 3 2 5 3 6 10 7 7 5 8 2 4 4 4 2 0 0 0 0 0 0 0 2 0 0 0 0 2 1 3 2 0 I 0 I 0 1 2 0 0 1 l 0 I 0 2 2 2 0 1 2 2 0 5 1 5 2 66 61 40 1 3 0	0 0 0 92 0 1 1 1 2 4 1 4 4 5 4 6 5 10 11 9 7 6 5 5 9 11 17 10 B 5 7 6 10 13 7 8 9 17 13 11 10 9 0 1 1 0 1 0 0 1 1 0 2 0 2 3 2 1 2 1 2 0 0 1 5 3 1 2 2 1 3 3 2 1 2 4 4 3 4 2 10 2 131 5 1 108 4 118 8 1	0 0 0 130 0 1 0 3 3 4 3 5 3 4 6 7 3 6 6 3 12 ' ' 7 II 13 13 13 16 7 9 13 9 12 11 13 20 15 18 14 19 IS l l 0 0 0 1 1 0 1 0 2 0 0 1 1 1 3 0 4 1 3 0 1 6 2 I 2 4 2 5 3 2 3 3 1 5 5 3 0 4 65 285 0 0 J 8 29 0 1 0 0 0 1 l 0 0 0 0 1 0 2 0 1 3 4 1 2 5 6 4 4 2 3 7 9 9 10 8 11 6 s 8 11 4 9 628 14 3 4 263 578 17 24 2 4 17 3 464 17 214 507 12	0 0 0 6 3 5 10 12 7 13 11 13 13 22 19 33 31 26 35 34 30 40 42 42 56 47 29 46 51 so 74 58 64 67 64 64 66 67 58 55 ) ) 60 1165 1038 51 785 48 900 48
	0075-Q075 0075-0075	31 1	85 5	132 10	429	677 50
	0076-0076 0076-0076	16 2	80 6	103 9	391	5 90 58
	0077-0077 0077-0077	8 0	55 6	91 7	339	493 34
	0078-0078 0078-0078	4 0	45 4	76 6	292	417 37
	0079-0079 0079-0079 0080-0080-	0 0 0 0	29 0 40 6	73 7 206 20	246 949	348 24 1195 149
		18396 15 7	34912 325	40290 454	67998	161596

start year••cux:{#l reading + latent + 1 ,V3 reading + 1) DEATHS FROM ALl CAUSES IN EXPOSURE CATIJ;ORY 1 H-11 white males start year=max(#l reading + latent+ 1,#3 reading + 1) DEATHS FROM ALL CANCERS IN EXPOSURE CATEGORY 1 
PERSON-YEARS IN EXPOSURE CATEGORY 2 2.0 UP TO 5.0 rems age

  
						H-14
			calendar year		
		-1959	196G-1964	1965-1969	1970-	TOTAL
	-0024	0	0	0		0
	0025-0029	0	0	0		1
	0030-0034	1	24	82		338
	0035-0035	5	19	74		256
	0036-0036	14	24	113		346
	0037-0037	24	22	148		417
	0038-0038	29	33	17 2		493
	0039-0039	28	61	182		561
	0040-0040	19	78	191		594
	0041-0041	15	83	179	329	606
	0042-0042	14	82	185		652
	0043-0043	18	74	183		685
	0044-0044	20	71	206		738
	0045-0045	14	67	219		745
	0046-0046	19	69	199		782
	0047-0047	19	69	208		779
	004!1-0048	10	76	193		766
	0049-0049	10	72	184		752
	0050-0050	9	76	181		730
	0051-0051	7	76	169		732
	0052-0052	6	62	180		7 25
	0053-0053	10	51	157		683
	0054-0054	7	47	162		666
	0055-0055	5	51	151		642
	0056-0056	1	46	129		613
	0057-0057	1	30	128		586
	005!1-0058	2	29	115		548
	0059-0059	2	21	109		515
	0060-0060	3	15	108		463
	0061-0061	3	12	93	324	432
	0062-0062	2	13	73		398
	0063-0063	1	14	56		356
	0064-0064	1	18	45	26 7	331
	0065-0065	2	14	37		300
	0066-0066	2	7	27		278
	0067-0067	1	9	22		241
	0068-0068	0	8	24		222
	0069-0069	0	4	21		208
	0070-0070	1	4	20		181
	0071-0071	1	4	15		147
	0072-0072	1	4	14	104	123
	0073-0073	2	2	15		106
	0074-0074	1	5	9		81
	0075-0075	1	3	9	54	67
	0076-0076	1	3	6		46
	0077-0077	1	2	7	30	40
	0078-0078	0	3	4		28
	0079-0079	0	1	4	16	21
	0080-	0	3	9		49
		333	1561	4817	13358	20069

white males start ye.ar""Ulal({#l rea4ing +latent+ 1 ,#3 reading + 1) DEATHS FROM ALL CAUSES IN EXPOSURE CATEX>ORY 2

  
	age	calendar year	
	-1959	196()--1964	1965-1969	1970-

r-max(#l reading+ latent+ 1~#3 reading + 1) DEATHS FROM ALL CAUSES IN EX.POSURE CATB;ORY 3

  
						R-18
	age white males start yea.age		calendar year calendar year		
	-1959 -1959	1960-1964 1960-1964	1965-1969 1965-1969	1970-1970-	TOTAL
	-0024	0	0	0	0	0
	0025-0029	0	0	0	0	0
	0030-0034	0	1	5	57	63
	0035-0035	0	1	12	62	75
	0036-0036	0	2	24	102	128
	0037-0037	0	3	40	151	194
	0038-0038	0	2	45	207	254
	0039-0039	0	2	75	218	295
	0040-0040	0	3	82	239	324
	0041-0041	1	3	95	275	374
	0042-0042	1	5	lOS	282	393
	0043-0043	0	3	104	295	402
	0044-0044	0	4	91	314	409
	0045-0045	0	5	92	348	445
	0046-0046	0	4	90	3 71	465
	0047-0047	0	6	86	382	474
	004!!-0048	0	2	83	389	474
	0049-0049	0	2	76	405	483
	0050-0050	0	5	72	3 97	474
	0051-0051	0	4	75	373	452
	0052-0052	0	5	80	349	434
	0053-0053	0	9	84	341	434
	0054-0054	0	1	93	340	434
	0055-0055	0	0	88	322	410
	0056-0056	0	4	84	315	403
	0057-0057	0	3	73	294	370
	OOSS-0058	0	4	58	287	349
	0059-0059	0	2	45	280	327
	0060-0060	0	3	46	265	314
	0061-0061	0	0	47	247	294
	0062-0062	0	0	39	233	272
	0063-0063	0	1	31	228	260
	0064-0064	0	1	28	214	243
	0065-0065	0	0	22	179	201
	0066-0066	0	2	18	144	164
	0067-0067	0	0	19	126	145
	0068-0068	0	1	20	99	120
	0069-0069	0	0	17	85	102
	0070-0070	0	0	11	71	82
	0071-0071	0	0	9	63	72
	0072-0072	0	1	7	47	55
	0073-0073	0	1	7	39	47
	0074-0074	0	1	5	34	40
	0075-0075	0	0	4	22	26
	0076-0076	0	0	1	22	23
	0077-0077	0	0	1	18	19
	0078-0078	0	0	1	14	15
		2	96	2191	9563	11852

PERSON-YEARS IN EXPOSURE CATEGORY 3S.O UP TO 15.0 <ems 
RESCLTS OF ANALYSES BASED ON GROUPED EXPOSURE DATA

  
	RESCLTS OF ANALYSES BASED ON UNGROUPED EXPOSURE DATA RESULTS OF ANALYSES BASED ON UNGROUPED EXPOSURE DATA REsULTS OF ANALYSES BASED ON GROUPED EXPOSURE DAtA RESULTS OF ANALYSES BASED ON GROUPED EXPOSURE DATA	H-35 H-36 H-37 H-38 U-39 H-40
	EXPOSURE CATEGORY MEANS 4.896379E-01 3.073ZOSE+OO 8.5003S3E+00 2.196740E+01
	BLOOD (280-9) RESPlRATORY(46Q-519)		
	NUMRER Ol' DEATHS OBSERVED MEAN EXPECTED MEAN TREND TEST STATISTIC UNADJUSTED ONE-TAILED P-VALUE ADJUSTED ONE-TAILED P-VALUE TOTAL VARIANCE MENTAL ( 2 90-315) NUMBER OF DEA1RS ALL NON-CANCERS (l-139,21G-999) BUCCAL (140-9) OBSERVED Mf.AN EXPECTED HEAN ALL CAUSES (0-999) TREND TEST STATISTIC UNADJUSTED O~E-TAILED P-VALUE ADJUSTED ONE-TAILED P-VALUE TOTAL VARIANCE DIGESTIVE (520-77) NUMBER OF DEATHS OBSERVED MEAN SCORE NUMBER OF DEA'nlS OBSERVED MEAN SCORE EXPECTED MEAN SCORE NUMBER OF DEAli!S OBSERVED MEAN SCORE EXPECTED MEAN SCORE EXPECTED MEAN SCORE TR~~ TEST STATISTIC TREND T'EST ST.ATISTI(; !REND TEST STATISTIC UNADJUSTED ONE-TAILED P-VALUE UNADJUSTED ONE-TAILED P-VALUE UNADJUSTED ONE-TAILED P-VALL~ ADJUSTED ONE-TAILED P-VALUE TOTAL VARIANCE ADJUSTED ONE-TAILED P-VALUE TOTAL VARIANCE CHI-SQUARE TEST FOR HOMOGENEITY ADJUSTED ONE-TAILED P-VALUE TOTAL VARIANCE CHI-SQUARE TEST FOR HOMOGENEITY	•	• • 1.866667E-01 6 • 1.391125E+OO • -9.589486E-01 • 8.311401E-01 • 8.293951E-Ol • 5.679305E+OI = 3 • 122 • 1. 727459£+00 = 5.2533348+00 • 1.548001E+OO = 2.196561 E+OO = 1.1688148+00 = 1.212894&-01 • 1.211008E-Ol • 6.155709E+01 • 5.602764E-Ol 2.876925E-Ol • 2.735442E4ll = 1.516820E+03 2313 1767 17 = 1.604339E+QO ~ = : -1.584050E+OO • 1.647659E«l0 • 1.698320E+OO = 1~663160E+00 = 1.701086E+OO • -5.146660E-Ol • -1.3072758•01 = 6. 9656948-01 : 5.5205218-01 • -5.032380E-0l ; 6.925668E-01 : 6.8B9838E-01 = 3.038588E+04 • 6.9143>9E-Ol • 4.870790E•01 = 2.212082E+Q4 -2. 2081698+02 • 4.0981 lOE-01 = l. 941499E+OO
	• = 2.745691E+OO 8 2.743750E+OO • -l.066683E-Q3 = 5.004264E-01 • 4.267560£-01 = 2.119588E+02 = 12 • 3. 934167 E+OO • 2.027063£+00 • 1.5055608+00 • 6.610996E-02 • 8.026239E-02 = 2 .3105498+02 • 95 1.648948E+OO = 1.797532E+OO = -3. 799962E4ll = 6.400243E-OI • 6.253619E-Ol 2.917196£-01 -2.152814E-01 UNADJUSTED ONE-TAILED P-V.ALUE NUMBER OF DEA'IHS OBSERVED MEAN EXPECTED MEAN llU:l!D TEST STATISTIC ADJUSTED ONE-TAILED P-VALUE TOTAL VARIANCE NUMBER OF DEATHS OBSERVED MEAN EXPECTED MEAN TREND TEST STATISTIC UNADJUSTED ONE-TAILED P-VALUE ADJUSTED ONE-TAILED P-VALUE TOTAL VARIANCE NORMAL TEST STATISTIC • l.379861E+03 CHI-SQUARE TEST FOR HOMOGENEITY • 5.07771BE-Ol OBSERVED FREQUENCIES EXPECTED FREQUENCIES RE.LA TIVE RISKS RELATIVE RISKS LBNDS RELATIVE RISKS UBNDS 1,922000E+03 2.110000E+02 1.91697BE+03 2.13949BE+02 1.017156E+OO 9.843234E-Ol 9.073025E-01 8.524367E-Ol 1.140310E+OO l.l36615E+OO OBSERVED FREQUENCIES EXPECTED FREQUENCIES 1.481000E+03 1.560000E+OZ 1.47479ZE+03 1.595242E+02 OBSERVED FREQUENCIES 1.400000E+01 1.000000E+00 2.000000E+00 O.OOOOOOE+OO 2,493766E-01 -6,3646!0E-Ol 9.lOOOOOE+Ol 3.900000E+Ol 9.0Z7031E+Ol 4.241373E+Ol EXPECTED FREQUENCIES 1.4056748+01 1.6049078+00 9.165787E-01 4.217739E-Ol 1.260000E+02 5.400000E+Ol l.233539E+02 5.B72012E+Ol l.023573E+OO 9.144463E-Ol 6.522941E-Ol 6.943008E-01 1.229272E+OO 1.204400E+OO R:ELAnVE RISKS RELAtiV:E RlSXS LBHDS RELATIVE RISKS DnNDS NORl!AL TEST STATISTIC 1.0Z8758E+OO 9.750050E-Ol 9.007121E-01 B.252521E-Ol l.l75006E+OO 1.151933E+00 4.180633E-01 -Z.97521ZE-Ol l.008855E+OO 9.142454E-01 RELATIVE RISKS 9. 7295278-01 5.8891658-01 2.5009028+00 O.OOOOOOE+OO 8.135059E-Ol 6.6081608-01 RELATIVE RISKS LBNDS 2.3812588-01 7.6737968•02 5.487171E-01 0.0000008+00 l.251114E+OO 1.264867&+00 RELATIVE RISKS UBNDS 3.975365E+OO 4.519571E+OO l.I39842E+01 O.OOOOOOE+OO 8.028879E-OZ -5.413230E-01 NORMAL TEST STATISTIC -3.818225E-02 -5.0923458-01 1.184473E+00 -6.697607E-01
	NERVOUS & SENSORY (320-89) RESIDUAL (210-39,580-799)		
	• = 8.583333Fr01 6 • 2.580796£+00 = -8.11 9862E-OI = 7.915285E-Ol • 7.596475£-01 = 1.619962E+02 • 17 • 3.8294128+00 • 2.009433E+OO .. 1. 747004E+OO • 4.032487E-OZ • 5.7l9397E-02 • 3.136483E+02 = 43 01l!ER UIGES TIVE (!SO ,152 ,154-6 ,158-9) NUMBER OF DEATHS OBSERVED MEAN EXPECTED MEAN TREND TEST STATISTIC UNADJUSTED ONE-TAILED P-VALUE ADJUSTED ONE-TAILED P-VALUE TOTAL VARIANCE CrRCUlATORY (390-458) NUMBER OF DEA1RS ALL CANCERS (140-209) OBSERVED MEAN EXPECTED MEAN TREND TEST STATISTIC UNADJUSTED ONE-TAILED P-VALUE ADJUSTED ONE-TAILED P-V.ALUE TOTAL VARIANCE EXTERNAL (600-999) 9.639536£-01 NO CERTIFICATE (0) • l.514855E+OO = -!.039032E+00 = 8.505431E-Ol = B.532564E-Ol ; 5.197S97E+02 NUMBER OF DEATHS OiSERVED MEAN SCORE EXPECTED MEAN SCORE TREND TEST STATISTIC UNADJUSTED ONE-TAILED P-VALUE ADJUSTED ONE-TAILED P-VALUE TOTAL VARIANCE • 65 = 6.086594E-Ol • 1.4031B3E+03 CHI-SQUARE TEST FOR HOMOGENEITY = 8.083690E-Ol = 5.856334E-01 ADJUSTED ONE-TAILED P-VALUE TOTAL VARIANCE = 6.861916E+03 • 4.931481E-Ol = -2,757545E-Ol UNADJUSTED ONE-TAILED P-VALUE = 5.043283E-Ol = 2.415033E+OO TREND TEST STATISTIC = -l.082%8E-02 = 2.256118E+00 NUMBER OF DEATHS OBSERVED MEAN SCORE • l. 800885E+OO EXPECTED MEAN SCORE = 481 NUMBER OF DEATI!S = 1. 7990ZOE+OO ORSERVED MEAN SCORE
	• • = CHI-SQUARE TEST FOR HOMOGENEITY • 2.282064E+OO 1263 41 NO!<I.EER OF DEATHS 165 OBSERVED FREQCENGIES 3.8800008+02 S.l00000E+01 3.000000E+Ol l.200000E+01 NUMBER OF DEATHS = 2.404146E<110 • 1.713531E+OO = 1.193667E+OO = l.l63518E-OI • 1.219739E-OI • 5.626968E+02 OBSERVED MEAN EXPECTED MEAN TREND TEST STATISTIC UNADJUSTED ONE-TAILED P-VALUE ADJUSTED ONE-TAILED P-VALUE TOTAL VARIANCE. = 1.600990E+OO = 1.668530E+OO • -6.481 745E-Ol • 7.415028E-Ol • 7 .375623&-01 • l.731962E+04 OBSERVED MEAN EXPECTED MEAN TREND TF.ST STATISTIC UNADJUSTED ONE-TAILED P-VALUE ADJUSTED ONE-TAILED P-VALUE TOTAL VARIANCE = !.278485£+00 = !.550225E+OO • -1.035265£+00 • 8.4%652E-Ol = 8.509423E-Ol NORMAL TEST STATISTIC 1.199646E+OO -1.468020E+OO -l.I3)736E-Ol 3,9648698-02 = !.875744E+03 OBSERVED FREQUENCIES 5.JOOOOOE+Ol 4.000000E+OO EXPECTED FREQUENCIES 4. 903926E+01 7. 7806 71E+OO RE.LA TlVE RlSKS l.46!45lE+00 4. 6 92 206E-0 1 RELATIVE RISKS LBNDS 7.86 24358-0l 1. 70852 98-01 RELATIVE RISKS UBNDS 2.716512£+00 1. 288641 E+OO EXPECTED FREQUENCIES 3.931454E+02 4.6644678+01 2.783813E+OI 1.337183E+Ol 5 .OOOOOOE+OO 3.000000E+OO RELATIVE RISKS 9.246684&-01 l.l08752E+00 l.086135E«l0 8.914539E-01 5.245467£+00 2.934611E+OO RELATIVE RISKS LBNDS 7.2695038-0l 8.240340E-Ol 7.449636E-01 4.987886E-Ol 9.483109E-01 1.0239838+00 RELATIVE RISKS UBNDS 1.176162E+00 1.491846E+00 1.5835548+00 l.593240E+00 3.800814E-01 3.173085E-01 2.366055E+OO 3.3044848+00 NORMAL TEST STATISTIC -6.380805E-Ol 6.817921E-0l 4.2951488-01 -3.878392E-Ol

EXPECTED MEAN SCORE !REND TEST STATISTIC UNADJUSTED ONE-TAILED P....VALlJE ADJUSTED ONE-TAILED P....VALUE TOTAL VARIANCE CHI-SQUARE TEST FOR HOMOGENEITY

  
		-• l.682847E+OO 18		
		• !.473972E+OO		
		• 2. 776402E-01		
		• 3. 90 6171E-Ol		
		• 3.383525E-01		
		• 1.83 3808E+02		
		-3.9935548+00		
	OBSERVED FREQUENCIES	l. 700000E+01 O.OOOOOOE•OO	0 .OOOOOOE+OO	l.OOOOOOE+OO
	EXPECTED FREQUENCIES	l.534520E+01 1.460949E+OO	8.686132E-01	3 .252356E-Ol
	Rf.LATIVE RISKS	3.211786E+OO O.OOOOOOE+OO	0 .OOOOOOE+OO	3.270506E+OO
	RELATIVE RISKS LBNDS	4.440510£-0l 0. 0 OOOOOE+OO	O.OOOOOOE+OO	4. 819858E-01
	RELATIVE RISKS UBNDS	2.323059E+01 O.OOOOOOE+OO	O.OOOOOOE+OO	2.219196E•Ol
	NORMAl. !EST STATIS'IIC 1.155833E+OO -l.283141E+OO -9.719334E-01	!.212925E+OO

RESULTS OF ANALYSES BASED ON GROUPED EXPOSURE DATA

  
				H-41
	STOMACH US!)	
	NUMBER OF DEATHS		•	23
	OBSERVED MEAN SCORE		• 2. 930220E+00
	EXPECTED MEAN SCORE		• 1.841094E+OO
	TREND TEST STATISTIC		., L346813E-t00
	UNADJUSTED ONE-TAILED P-VALUE	• 8.905315E-02
	ADJUSTED	ONE-TAILED P-VALUE	• 1.002516E-01
	TOTAL VARIANCE		• 3.4593738+02
	CHI-SQUARE TEST FOR HOMOGENEITI'	• 2.802896E+OO
	OBSERVED FREQUENCIES	l.BQOOOOE+Ol 2.000000E+OO l.OOOOOOE+OO 2.000000E+OO
	EXPECTED FREQUENCIES	1.867924E+Ol 2.330823E+OO 1.312676E+OO 6.772664E-01
	RELATIVE RISKS	8.179418E-Ol 8.427520E-Ol 7.430485E-Ol 3.410635E+00
	RELATIVE RISKS LBNDS	2.883590E-Ol 1.984750E-01 9.6!6202E-02 8.0!8890E-Ol
	RELATIVE RISKS UBNDS	2.320!25E+OO 3.5784408+00 5.74!572E+OO 1.450629E+01
	NORMAL TEST STATISTIC -3.l78009E-01 -2.3189468-01 -2.8468758-01 1.6610828+00
	LARGE INTESTINE (153)	
	NUMBER ot' DEA'I'HS		•	51
	OBSERVED MEAN SCORE		• 9.5066021:-01
	EXPECTED MEAN SCORE	
	TREND TEST STATISTIC	
	UNADJUSTED ONE-TAILED P-VALUE
	ADJUSTED	ONE-TAI1ED P-VALUE
	TOTAL VARIANCE	

= l 
.541093E-..QO

  
				H-42
	RESULTS OF ANALYSES BASED ON GROUPED EXPOSURE DATA
	RECTUM (154) ALL OIRER CANCERS (160-1,163,170-3,186-7,190,193-9)
	---------~--	
	NUMBER OF DEATHS		•	16
	OBSERVED MllAN SCORE EXPECTED MEAN SCORE		• 1.151781 E+OO • !.66ll37E+OO
	TREND TEST STATISTIC		• -5.133816E-{)l
	UNADJUSTED ONE-TAILED P-VALUE	• 7.167573E-01
	ADJUSTED	ONE-TAILED P-VALUE	• 6.689884E-Ol
	TOTAL VARIANCE		• 2.0680&lE+02
	CHI-SQUARE TEST FOR HOMOGENEITY	= 5.741913E-Ol
	OBSERVED FREQUENCIES	1.400000E+Ol 1.0QOOOOE+OO	I.OOOOOOE+OO O,OOOOOOE+OO
	EXPECTED FREQUENCIES	1,345812E+Ol 1,306875E+OO	8,213877£-01 4,136222E-OI
	RELATIVE RISKS	1.375096E+00 7 .39 9993E-Ol	1.268534E+00 O.OOOOOOE+OO
	BELATIVE RISKS LENDS	2.860805E-Ol 9,444101E-02	1.345363&-01 O.OOOOOOE+OO
	RELATIVE RISKS UBNDS	6.609636E+00 5.798316E+00	1.196093E+Ol O.OQOOOOE+OO
	NOBMAL TEST STATISTIC	3.976455&-01 -2.866738E-01	2.077785E-01 -6.669164E-Ol
	PANCREAS (157)	
	NUMBER OF DEATHS		=	34
	OBSERVED MEAN SCORE		= 1.820518E+OO
	• -1.246213E+OO = 1.555683E+OO = 4.647399E-01 • 3.210841E-Ol = 8.936144E-Ol • 9.0580138-01 • 5.838442£+02 CHI-SQUARE TEST FOR HOMOGENEITY • 2.749744£+00 EXPECTED MEAN SCORE TRE'h1) TEST STATISTIC UNADJUSTED ONE-TAILED P-VALUE ADJUSTED ONE-TAILED P-VALUE TOTAL VARIANCE CHI-SQUARE TEST FOR HOMOGENEITY = 2.931875E-01 = 3.753933E+02 = 2.236319E-01
	OBSERVED FREQUENCIES EXPECTED FREQUENCIES RKLA 'ITVE RISKS RELATIVE RISKS LBNDS RELATIVE RISKS UBNDS NORMAl TEST STATISTIC OBSERVED FREQUENCIES EXPECTED FREQUENCIES RELATIVE RISKS RELATIVE RISKS LBNDS RELATIVE RISKS UBNDS NORMAL TEST STATISTIC -2.817757E-01 -3.207435E-02 2.516951E-Ol 3,819040E-Ol 4.400000E+01 4.3356708+01 !.117573E+OO 4. 928006E-01 2.5344338+00 2.6608468-01 2.800000E+Ol 3.000000E+OO 2.000000E+OO l.OOOOOOE+OO 6.0000008+00 l.OOOOOOE+OO O.OOOOOOE+OO 2.8569QSE+Ol 3.052424E+OO 1.68751SE+OO 6.910019E-01 4.189567£+00 2.330012E+OO 1.1237268+00 8.720492E-01 9.797587E-01 1.201093E+OO 1.470180E+OO 1.508963E+00 4.166086&-01 0.0000008+00 3.364735E-01 2.808199E-Ol 2.883347E-01 2.034209E-01 6.388952£-01 6.309628E-02 O.OOOOOOE+OO 2,260118E+OO 3.418302E+OO 5.003300E+OO 1.062540E+Ol 3.56391SE+OO 2.750760£+00 O.OOOOOOE+OO 9.382745£-01 -9.092478&-01 -1.095101£+00

RESULTS OF ANALYSES BASED ON GROUPED EXPOSURE DATA

  - 


			U-43 H-44 H-45
	RESULTS OF ANALYSES BASED ON GROUPED EXPOSURE DATA RESULTS OF ANALYSES BASED ON GROUPED EXPOSURE DATA
	BREAST (174) BLADDER & URINARY (188-9) LYMPHOSARCOMA (200)
	NlJMBER OF DEAIRS OBSERVED MEAN SCORE EXPECTED MEAN SCORE TREND TEST STATISTIC UNADJUSTED ONE-TAILED P-VALUE ADJUST!O ONE-TAILED P-VALUE TOTAL VARIANCE CUI-SQUARE TEST FOR UOMOGENEIT'l NUMBER OF DEA'IHS OBSERVED MEAN SCORE EXPECTED MEAN SCORE NUMBER OF DEATHS OBSERVED MEAN SCORE NUMBER OF DEATIIS OBSERVED MEAN SCORE TREND TEST STATISTIC UNADJUSTED ONE-TAILED P-VALUE ADJUSTED ONE-TAILED P-VALUE TOTAL VARIANCE CHI-SQUARE TEST FOR HOMOGENEITY E 7,812500E-02 • 52 • !.6!3249E+00 • 1.823216£+00 • -4.015524E-01 • 6.559854£-01 • 6.270502£-01 • 7 .393069£+02 • 1.635214E-Ol = 1 = 4.896379E-01 = 17 13 = 1.503319E+OO = 1.112831E+00 = 9.381688E-01 = -2. 782629E-01 c 6.096218£-01 = 2.349172E-01 = 2.598208E+00 EXPECTED MEAN SCORE EXPECTED MEAN SCORE = 1.693167E+OO • 1.395479E+00 TREND TEST STATISTIC TREND TEST STATISTIC : -2o0074668-01 "'-3.768041E-01 UNADJUSTED ONE-TAILED P-VALUE UNADJUSTED ONE-TAILED P-VALUE = 6.468397E-01 ADJUSTED ONE-TAILED P-VALUE s ADJUSTED ONE-TAILED P-VALUE = 5.754958E-01 TOTAL VARIANCE TOTAL VARIANCE = = 1.626135E+02 CHI-SQUARE TEST FOR HOMOGENEITY = 5.352263E-Ol CHI-SQUARE TEST FOR HOMOGENEITY =
	OBSERVED FREQUENCIES EXPECTED FREQUENCIES RELAnVE RISKS RELAnVE RISKS LBNDS RELATIVE RISKS UBNDS NORMAL TEST STATISTIC OBSERVED FREQUENCIES EXPECTED FREQUENCIES NORMAL TEST STATISTIC OBSERVED FREQUENCIES EXPECTED FREQUENCIES OBSERVED FREQUENCIES EXPECTED FREQUENCIES RELATIVE RISKS RELATIVE RISKS RELATIVE RISKS LBNDS RELATIVE RISKS UBNDS NORMAL TEST STATISTIC RELATIVE RISKS LBNDS RELATIVE RISKS UBNDS NORMAL TEST STATISTIC	4.300000E+Ol S.OOOOOOE+OO 3.000000E+00 1.000000E+OO 4.22!653E+Ol 5.146604E+OO 3.233085E+00 l.403783E+00 1.120721E+00 9.674321E-01 9.209498E-01 6.935410E-01 l.OOOOOOE+OO O.OOOOOOE+OO O.OOOOOOE+OO 9.056604E-01 5.660377E-02 3.773585E-02 3.227486E-01 -2.449490E-01 -1.980295E-01 O.OOOOOOE+OO O.OOOOOOE+OO l.SOOOOOE+Ol l.OOOOOOE+OO 1.467892E+Ol 1.329416E+00 l.OOOOOOE+OO 6.931067E-01 l.OOOOOOE+01 O.OOOOOOE+OO 1.058341E+01 2.985588E-01 O.OOOOOOE+OO 1.211519E+OO 7.225786E-01 1.480194E+OO 7 o6148248-01 O.OOOOOOE+OO 5.!8547BE-01 3.767332£-01 2.812768E-01 9.024372E-02 2.42218!E+OO 2.484311£+00 3.015351E+00 5.330001E+OO 2.898500E-Ol -6.881048E-02 -1.360847E-Ol -3.517154E-01 2.513332E-01 8.835857E-02 5.839973E+00 5.909102E+00 2.391044E-01 -3.030618E-01 1.990417E-01 1.100761E+01 3.831010E-01 2.308635E-01 O.OOOOOOE+OO 2.511681£+00 0 .OOOOOOE+OO -5 .617968E-01
	PROSTATE (185)	
	LUNG (162) NUMBER OF DEA'IHS OBSERVED MEAN SCORE BRAIN 091-2)	= = 1.099180E+OO 39
	EXPECTED MEAN SCORE	= 1.830778E+OO
	NUMBER OF DEATHS OBSERVED MEAN SCORE EXPECTED MEAN SCORE TREND TEST STATISTIC CNADJUSTED ONE-TAILED P-VALUE ADJUSTED ONE-TAILED P-VALUE TOTAL VARIANCE CHI-SQUARE TEST FOR HOl!OGENEIT'l TREND TEST STATISTIC UNADJUSTED ONE-TAILED P-VALUE NUMBER OF DEATHS ADJUSTED ONE-TAILED P-VALUE OBSERVED MEAN SCORE TOTAL VARIANCE EXPECTED MEAN SCORE TREND TEST STATISTIC CHI-SQUARE TEST FOR HOMOGENEITY = 1. 43 9122E+OO • 152 c 2.324907£+00 ~ 2.065086E+OO = 7 .663189E-01 • 2.21B139E-01 = -1.149063E+OO 15 = 8. 746830E-01 = 1.006352E+OO = 8.822471E-01 = 1.759978E+OO = 6.165760E+02 = -8.162230E-01 UNADJUSTED ONE-TAILED P-VALUE 7.927420E-01 • Z.I69881E-01 = 2.655935E+03 = 5.027552E+OO OBSERVED FREQUENCIES 3.400000E+Ol 3.000000E+OO 2.000000E+00 EXPECTED FREQUENCIES 3 .234089E+Ol 3.276388E+OO 2.139568E+OO RELATIVE RISKS 1.506223E+OO 9.027211E-Ol 9.263952E-Ol ADJUSTED ONE-TAILED P-VALUE = 7. 7 22049E-01 TOTAL VARIANCE = 1.91812SE+02 2. 776671E+00 CHI-SQUARE TEST FOR HOMOGENEITY	O.OOOOOOE+OO 1.243157E+OO O.OOOOOOE+OO
	OBSERVED FREQUENCIES EXPECTED FREQUENCIES RELATIVE RISKS RELATIVE RISKS LBNDS REl.ATIVE RISKS LBNDS RELATIVE RISKS UBNDS NORMAL TEST STATISTIC 7 .384254E-01 -1.616008E-01 -9.976850E-02 I.!OOOOOE+02 2.300000£+01 1.400000E+01 S.OOOOOQE+OO 1.198385E+02 1.666103E+Ol 1.013538E+01 5.365156£+00 6. 1373BlE-01 1.41 1953E+00 1.439758E+00 9.212803E-Ol 5.078298E-01 2.609028E-01 2.062975E-Ol 4.467459E+OO 3.123406E+OO 4.160051E+00 O.OOOOOOE+OO OBSERVED FREQUENCIES 1.200000E+Ol 3.000000E+00 O.OOOOOOE+OO O.OOOOOOE+OO O.OOOOOOE+OO EXPECTED FREQUENCIES 1.212535E+Ol 1.527101E+OO 1.027148E+OO 3.204029E-01 -1.152990E+OO RELATIVE RISKS 9.505571E-01 2.175247E+OO 0 .OOOOOOE+OO O.OOOOOOE+OO 4.617318E-0l 9.355650E-01 8.225660E-01 3.748990E-0l RELATIVE RISKS UBNDS RELATIVE RISKS LBNDS 2.930262E-01 6.546801E-01 O.OOOOOOE+OO O.OOOOOOE+OO 9.830882E-Ql 2.315867E+00 L520045E+OO 2.:293548E+00 RELATIVE RISKS UBNDS 3.083542E+OO 7.227498E+OO O.OOOOOOE+OO O.OOOOOOE+OO NORMAL TEST STATISTIC -2.048474E+OO 1.671945£+00 1.276115E+OO -1.634043E-Ol NORMAL TEST STATISTIC -8.445526E-02 1.268539E+00 -1.061561E+OO -5. 763569E-01

-4.475102E-01 HODGKIN 1 S DISEASE (201) NUMBER OF DEATHS : OBSERVED MEAN SCORE : EXPECTED MMN SCORE : TREND TEST STATISTIC UNADJUSTED ONE-TAILED P-VALUE ADJUSTED ONE-TAILED P-VALUE TOTAL VARIANCE : : CHI-SQUARE TEST FOR HOMOGENEITI :

  RESULTS OF ANALYSES BASED ON GROUPED EXPOSURE DATAOTHER LYHPRATIC NEOPLASMS(202, 


			H-46 H-47
	NUMBER OF DEATHS	"'	6
	OBSERVED MEAN SCORE	= 4.896379£-01
	EXPECTED MEAN SCORE	= 1.793769£+00
	5o7959508-01 5o0821398-01 = -8.401386E-01 = 7.995129£-01 = 7.625324£-01 l.Sll486E+02 = 8.674473£+01 7o1039998-01 CHI-SQUARE TEST FOR HOMOGENEITY E 1.456770£+00 TREND TEST STATISTIC UNADJUSTED ONE-TAILED P-VALUE ADJUSTED ONE-TAILED P-VALUE TOTAL VARIANCE
	OBSERVED FREQUENCIES EXPECTED FREQUENCIES RELATIVE RISKS RELATIVE RISKS LBNDS RELATIVE RISKS UBNDS NORMAL TEST STATISTIC	2.0000008+00 1o4209388+00 1.490017E+OO 3o391553E-01 6.546120E+OO 5o2809418-01 6.000000E+OO O.OOOOOOE+OO O.OOOOOOE+OO O.OOOOOOE+OO 1.000000E+OO 6o9871758-01 1.473354E+OO 1.9728368-01 1.100331E+01 3o777783E-01 Oo0000008+00 2o9693798-01 4.888952£+00 6.171119£-01 3.251053£-01 1.688308£-01 O.OOOOOOE+OO 4.660073£+06 O.OOOOOOE+OO O.OOOOOOE+OO O.OOOOOOE+OO Oo0000008+00 6.849656£-05 O.OOOOOOE+OO O.OOOOOOE+OO O.OOOOOOE+OO O.OOOOOOE+OO 3.170429£+17 O.OOOOOOE+OO O.OOOOOOE+OO O.OOOOOOE+OO -50 7239238-01 1.206534£+00 -8.355736£-01 -5.941058£-01 -4.238072£-01
	MULTIPLE MYELOMA (203)		
	6 7 4o8963798-01 5.84666SE+00 1.3858038+00 = 1.262257E+OO = -7 o 751489E-01 = 4.519057E+OO 7.808033E-01 3.099442£-06 7 o293989E-01 1.103023£-03 4.811806E+Ol = S.042746E+Ol 1 .15 7 35 9E+OO CHI-SQUARE TEST FOR HOMOGENEIT'l = 2.413103E+Ol NUMBER OF DEAn£S OBSERVED MEAN SCORE EXPECTED MEAN SCORE TREND TEST STATISTIC UNADJUSTED ONE-TAILED P-VALUE ADJUSTED ONE-TAILED P-VALUE TOTAL VARIANCE
	OBSERVED FREQUENCIES EXPECTED FREQUENCIES RELATIVE RISKS RELATIVE RISKS LBNDS RELATIVE RISKS UBNDS OBSERVEl> FREQUENCIES EXPECTED FREQUENCIES RELATIVE RISKS RELATIVE RISKS LBNDS RELATIVE RISKS UBNDS NORMAL TEST STATISTIC 1.075401E+OO -7o7722958-01 -5o7860708-01 -2o7122758-01 6.000000E+OO 5.082157E+OO 3.849715E+06 3o828108E-06 3o871445E+18 O.OOOOOOE+OO 5.412361E-01 O.OOOOOOE+OO O.OOOOOOE+OO OoOOOOOOE+OO O.OOOOOOE+OO 3o0519068-01 0. OOOOOOE+OO Oo0000008+00 Oo0000008+00 O.OOOOOOE+OO 4.000000E+OO O.OOOOOOE+OO 2 .OOOOOOE+OO l.OOOOOOE+OO 7o1416918-02 6.032353E+OO 6.185393£-01 2.738355£-01 7.527228E-02 O.OOOOOOE+OO 1.667236E-01 O.OOOOOOE+OO 1.204375E+Ol 2.371498E+Ol Oo0000008+00 3.540778£-02 O.OOOOOOE+OO 2.857560E+OO 3.875204E+OO Oo0000008+00 7 .850466E-01 O.OOOOOOE+OO 5.076071E+01 1.451280E+02 NORMAL TEST STATISTIC -2.266146E+00 -8.298516£-01 3 .390537E+00 3.425636E+OO

NUMBER OF DEATHS OBSERVED MEAN SCORE EXPECTED MEAN SCORE TREND TEST STATISTIC UNADJUSTED ONE-TAILED P-VALUE ADJUSTED ONE-TAILED P-VALUE

  
				H-50 H-51 H-52
	RESULTS OF ANALYSES BASED ON GROUPED EXPOSURE DATA RESULTS OF ANALYSES BASED ON GROUPED EXPOSURE DATA RESULTS OF ANALYSES BASED ON GROUPED EXPOSURE DATA
	BLOOD (280-9) NERVOUS & SENSORY (320-89) RESPIRATORY( 460-519) RESIDUAL (210-39,580-799)	
	NUMBER OF DEAlHS NUMBER OF DEATHS NUMBER OF DEATilS NUMBER OF DEATHS	• = =	3 17 122 43
	OBSERVED MEAN SCORE OBSERVED MEAN SCORE OBSERVED MEAN SCORE OBSERVED MEAN SCORE	IC = 2.847448E+OO 7.648891 E+OO IC 1. 731772E+OO = 1.162644E+OO
	EXPECTED MEAN SCORE EXPECTED MEAN SCORE EXPECTED MEAN SCORE EXPECTED MEAN SCORE	"" 2.111725E+OO = I. 925 955 E+OO ., 1.556239E+OO = 1.525464E+OO
	TREND TEST STATISTIC TREND TEST STATISTIC TREND TEST STATISTIC TREND TEST STATISTIC	• 2.244198E+00 • 9.478530E-01 = 5.584219E-01 = -7 .130120E-Ol
	UNADJUSTED ONE-TAILED P-VALUE UNADJUSTED ONE-TAILED P-VALUE UNADJUSTED ONE-TAILED P-VALUE UNADJUSTED ONE-TAILED P-VALUE	= 1.240826E-02 • 1.716704E-01 = 2.883 249E-01 = 7 .620133E-01
	ADJUSTED ADJUSTED ADJUSTED ADJUSTED	ONE-TAILED P-VALUE ONE-TAILED P-VALUE ONE-TAILED P-VALUE ONE-TAILED P-VALUE	• 3. 705363E-02 • 1.701998E-01 = 2. 751925E-01 = 7 .421056E-01
	TOTAL VARIANCE TOTAL VARIANCE TOTAL VARIANCE TOTAL VARIANCE	• 5.478923E+OI = 2. 731490E+02 = 1.470664E+03 = 4.787684E+02
	CHI-SQUARE TEST FOR HOMOGENEITY CHI-SQUARE TEST FOR HOMOGENEITY CHI-SQUARE TEST FOR HOMOGENEITY CHI-SQUARE TEST FOR HOMOGENEITY = = 7. 8 9423 2E+OO = I. 766550E+OO = 2.072628E+OO 1.672708E+00
	O.OOOOOOE+OO O.OOOOOOE+OO O.OOOOOOE+OO 2.!12880E-01 l.OOOOOOE+OO !.I03082E-01 2.000000E+OO 1.000000E+OO 4.000000E+OO 4.000000E+OO 1.025074E+00 5.335699E-01 5.48481 7E+OO 2.835062E+OO 4.419899E-01 2.991966E-01 O.OOOOOOE+OO 1.235247E+OI 2.113961E+00 2.002754E+OO 7 .091138E-01 1.456851E+OO O.OOOOOOE+OO O.OOOOOOE+OO O.OOOOOOE+OO O.OOOOOOE+OO O.OOOOOOE+OO O.OOOOOOE+OO -7.041661E-01 -5.679103E-01 O.OOOOOOE+OO O.OOOOOOE+OO NORMAL TEST STATISTIC -5.386302E-01 -5.926172E-01 -4.853650E-01 OBSERVED FREQUENCIES 2.000000E+OO O.OOOOOOE+OO EXPECTED FREQUENCIES 2.367005E+00 3.!13987E-01 OBSERVED FREQUENCIES OBSERVED FREQUENCIES 1.010000E+02 1.300000E+01 OBSERVED FREQUENCIES 3.600000E+01 S.OOOOOOE+OO 1.300000E+Ol l.OOOOOOE+OO EXPECTED FREQUENCIES 1.360439E+Ol 1.836966E+00 EXPECTED FREQUENCIES 1.038885E+02 9.791576E+OO EXPECTED FREQUENCIES 3.668418E+01 3.450305E+OO RELATIVE RISKS 5.135173E-OI O.OOOOOOE+OO RELATIVE RISKS 7.919396E-01 4.844627E-01 RELATIVE RISKS 8.191175E-01 1.385334E+OO RELATIVE RISKS 8.640640E-01 1.567987E+OO RELATIVE RISKS LBNDS 4.542609E-02 O.OOOOOOE+OO RELATIVE RISKS UBNDS 5.805034E+OO O.OOOOOOE+OO 2.085968E+OO 7 .314751E+Ol 2. 770210E+OO RELATIVE RISKS LBNDS 2.394663E-01 5.735486E-02 RELATIVE RISKS UBNDS 2.619026E+OO 4.092139E+00 NORMAL TEST STATISTIC -3.822590E-01 -6.656916E-01 4.901460E-01 9.117343E+OO 1,003810E+OO 2.528638E-01 1.586240E+Ol 6.5 7 7982E-01 RELATIVE RISKS LBNDS 4.928353E-01 RELATIVE RISKS UBNDS 1.361415E+00 NORMAL TEST STATISTIC -7.697516E-01 7 .689337E-01 2. 495 858E+OO 2.551398E-01 1.970850E+OO 5.179315E-01 RELATIVE RISKS LBNDS 3.456057E-01 5. 781956E-Ol 4.097870E+OO RELATIVE RISKS UBNDS 2.160285E+OO 4.252163E+OO 1.085194E+OO -6.590941E-01 7 .131224E-01 NORMAL TEST STATISTIC -3.125150E-01 8. 836826E-01
	MENTAL (290-315) CIRCULATORY (390-458) DIGESTIVE (520-77) EXTERNAL ( 80Q-999)	
	NUMBER OF DEATHS OBSERVED MEAN SCORE NUMBER OF DEATHS OBSERVED MEAN SCORE NilllliER OF DEATHS OBSERVED MEAN SCORE EXPECTED MEAN SCORE TREND TEST STATISTIC EXPECTED MEAN SCORE TREND TEST STATISTIC EXPECTED MEAN SCORE TREND TEST STATISTIC	• "' 2.947011E+OO 12 = 1263 "' 1.586263E+00 95 = 165 = 1.720004E+OO "' 1. 2 91625E+OO = 1.999072E+OO • 7 .B63!19E-01 = 1.647070E+00 = 1. 778967E+OO = 1.563660E+00 = -6.099998E-01 = -1.536891 E-01 = -1.071584E+OO
	UNADJUSTED ONE-TAILED P-VALUE UNADJUSTED ONE-TAILED P-VALUE UNADJUSTED ONE-TAILED P-VALUE	• 2.159137E-01 = 7 .290133E-01 = 5.611203E-01 = 8.579873E-01
	ADJUSTED ADJUSTED ADJUSTED	ONE-TAILED P-VALUE ONE-TAILED P-VALUE ONE-TAILED P-VALUE	2.066495E-01 7 .250146E-01 5.355694E-01 = 8.5 99494E-01
	TOTAL VARIANCE TOTAL VARIANCE TOTAL VARIANCE TOTAL VARIANCE	= 2.092828E+02 = 1.585095E+04 = l.328359E+03
	1.385228E+OO 1.994913E+00 = 1.05 9897E+OO CHI-SQUARE TEST FOR HOMOGENEI1Y = CHI-SQUARE TEST FOR HOMOGENEITY CHI-SQUARE TEST FOR HOMOGENEITY CHI-SQUARE TEST FOR HOMOGENEITY 1.850110E+OO
	OBSERVED FREQUENCIES EXPECTED FREQUENCIES RELATIVE RISKS RELATIVE RISKS LBNDS RELATIVE RISKS UBNDS NORMAL TEST STATISTIC -4.305510E-01 3.300000E+Ol 3.399444E+Ol 8.376199E-01 3.738810E-01 1.876552E+00 OBSERVED FREQUENCIES l.OOOOOOE+Ol O.OOOOOOE+OO 3.000000E+OO 3.627538E+OO 8.101261E-01 2.488525E-01 2.637323E+OO -3 .496549E-01 OBSERVED FREQUENCIES 1.063000E+03 1.070000E+02 OBSERVED FREQUENCIES 7.800000E+Ol 1.100000E+Ol 3.000000E+OO 4.000000E+OO 2.320543E+OO 1.837582E+OO 6.540661E-01 5.162639E+00 1.154469E+00 l.OQOOOOE+OO 6.600000E+Ol 2.700000E+Ol l.OOOOOOE+OO 3.000000E+OO 1.000000E+OO EXPECTED FREQUENCIES 9. 702197E+00 1.125439E+OO 7 .406365E-OI 4.317271E-Ol EXPECTED FREQUENCIES 1.054703E+03 1.140282E+02 6,367231E+Ol 3.059799E+Ol EXPECTED FREQUENCIES 7. 776900E+01 9.021192E+OO 5.72872SE+OO 2.481088E+OO 1.057479E+OO 9.431806E-01 RELATIVE RISKS 1.207856E+OO O.OOOOOOE+OO RELATIVE RISKS LBNDS 1.393468E+OO 2.695889E+00 RELATIVE RISKS 1.040135E+OO 8.748019E-01 RELATIVE RISKS l.017590E+OO 1.254897E+OO 4.962852E-Ol 1.221172E+OO 1.054730E+00 9.308625E-01 2.439196E-01 O.OOOOOOE+OO I. 7 99059E-01 3.087624E-01 RELATIVE RISKS LBNDS 9.009355E-01 7 .621803E-Ol 8.076839E-01 5.922639E-01 RELATIVE RISKS LBNDS 5.953414E-01 6.646061E-01 1.569895E-01 3.847862E-Ol 1.278957E-01 RELATIVE RISKS UBNDS 5. 981!34E+00 O.OOOOODE+OO 1.079317E+Ol 2.353855E+01 RELATIVE RISKS UBNDS 1.234778E+OO 1.136877E+OO 1.339484E+00 1.292124E+00 RELATIVE RISKS UBNDS 1.739321E+OO 2.369473E+OO 1.568889E+OO 3.875558E+OO 6.955587E+OO -5.738375E-02 NORMAL TEST STATISTIC 2.313715E-01 -1.134626E+OO 3.176759E-01 8.970312E-OI NORMAL TEST STATISTIC 6.626517E-01 -7.023589E-01 3.049262E-01 -6.721411E-01 NORMAL TEST STATISTIC 6.375664E-02 7.001492E-01 -1.193065E+OO 3.391091E-01
	•		

• • RESULTS OF ANALYSES BASED ON GROUPED EXPOSURE DATA = 1 
. 754546E+03 1.5 95055E+OO CHI-SQUARE TEST FOR HOMOGENEITY =

  
				H-53
				2.000000E+OO O.OOOOOOE+OO
				1.924580E+00 9.409350E-01
				1.042591E+OO O.OOOOOOE+OO
				2.476843E-01 O.OOOOOOE+OO
				4.388638E+OO O.OOOOOOE+OO
				5.687739E-02 -1.008087E+00
	OBSERVED FREQUENCIES	1.400000E+02	1.500000E+01	9.000000E+00 1.000000E+OO
	EXPECTED FREQUENCIES	1.3 7 5899E+02	1.556326E+01	8.720366E+OO 3.126421E+OO
	RELATIVE RISKS	1.132640E+00	9.583126E-01	1.035303E+OO 3.012903E-01
	RELATIVE RISKS LBNDS	7 .142925E-01	5.541807E-01	5.215160E-01 4.517477E-02
	RELATIVE RISKS UBNDS	1. 796006E+OO	1.657154E+00	2.055264E+OO 2.009437E+OO
	NOffi-IAL TEST STATISTIC	5.295296E-01	-1.523861E-01	9.916934E-02 -1.239173E+OO

Binary representation of data results from formatted (externally-coded) data being converted into a machine-readable (internal) form.In analyzing large study groups, a great deal of time is spent reading formatted data and waiting for system software to convert them into an internal form.Because a binary file contains the results of this time consuming process, this step may be eliminated Ln any future processing of the study group.Using a binary file for input may reduce processing times by as much as a factor of ten.
-24-Another consideration is the amount of storage space required by a study ACKNO~LEDGEMlNTS Ihe authors wish to acknowledge the contribution of Kent B. Stewart who developed the original Hanford Mortality Analysis program that has formed the foundation for MOX to be built upon.-48-We are also thankful for the motivation and insight provided by Dr. H. Dennis Tolley as well as for the helpful suggestions received from Dr. Anthony R~ Olsen and Sharon M. Popp.


Step 5. USING THE COMMAND FILE As noted in the last step, a command file is created at the conclusion of each interactive specification session. This file contsins all poaeihle prompts and helps, not just the actual prompts and any helps issued during the session. This allows you to use a system editor to easily modify the responses in the command file so that a variety of batch analyses can be performed, without going tbru the interactive specification phase again. The command file created from the specification session in Appendix F is listed in Appendix C~ This listing is followed by a discussion of ways in which the command file may be modified. Appendix R is a listing of the output generated by submitting the command file in Appendix G as a batch job.
Jobcode Jobcat
CALENDAR YEAR DESCRIPTION FOR GROUP 7? 1 to 24 characters CALENDAR YEAR DESCRIPTION FOR GROUP 8? 1 to 24 characters CALENDAR YEAR DESCRIPTION FOR GROUP 9?