[4] Obuchowski NA, Reeves AP, Huang EP, et al. Quantitative Imaging Biomarkers: A Review of Statistical Methods for Computer Algorithm Comparisons. SMMR 2015; 24: 68-106. [5] Huang EP, Wang XF, Choudhury K, McShane LM, Gonen M, Ye J, Buckler AJ, Kinahan PE, Reeves AP, Jackson EF, Guimaraes AR, Zahlmann G. Meta-analysis of the technical performance of an imaging procedure: Guidelines and statistical methodology. Meta-Analysis Working Group. Quantitative Imaging Biomarkers Alliance. Stat. Methods Med Res. 2014 May 28 (Epub). PMID 24872353. Glossary: Bias: Bias is an estimate of systematic measurement error; it is the difference between the average (expected value) of measurements made on the same object and its true value. Percent Bias is Bias divided by the true value in percent.[2] Interval variable: Measures for which the difference between two values is meaningful, but the ratio of two values is not, are called interval variables.[2] Precision: Precision is the closeness of agreement between measured quantity values obtained by replicate measurements on the same or similar experimental units under specified conditions [2]. Quantitative Imaging Biomarker: (QIB) an objective characteristic derived from an in vivo image MEASURED on a ratio or interval scale as indicators of normal biological processes, pathogenic processes or a response to a therapeutic intervention.[2] Ratio variable: A variable such that the difference between any two measures is meaningful and any two values have meaningful , making the operations of multiplication and division meaningful. A ratio variable possesses a meaningful (unique and non-arbitrary) zero value. [2] Repeatability: Repeatability represents the measurement precision under a set of repeatability conditions of measurement. [2] Repeatability condition of measurement: The repeatability condition of measurement is derived out of a set of conditions that includes the same measurement procedure, same operators, same measuring system, same operating conditions and same physical location, and replicate measurements on the same or similar experimental units over a short period of time [2]. Repeatability coefficient (RC): The least significant difference between two repeated measurements taken under identical conditions at a two-sided significance of α=0.05: where sw2 is an estimate of the within-subject variance. [3] σw2,
[4] Obuchowski NA, Reeves AP, Huang EP, et al. Quantitative Imaging Biomarkers: A Review of Statistical Methods for Computer Algorithm Comparisons. SMMR 2015; 24: 68-106. [5] Huang EP, Wang XF, Choudhury K, McShane LM, Gonen M, Ye J, Buckler AJ, Kinahan PE, Reeves AP, Jackson EF, Guimaraes AR, Zahlmann G. Meta-analysis of the technical performance of an imaging procedure: Guidelines and statistical methodology. Meta-Analysis Working Group. Quantitative Imaging Biomarkers Alliance. Stat. Methods Med Res. 2014 May 28 (Epub). PMID 24872353. Glossary: Bias: Bias is an estimate of systematic measurement error; it is the difference between the average (expected value) of measurements made on the same object and its true value. Percent Bias is Bias divided by the true value in percent.[2] Interval variable: Measures for which the difference between two values is meaningful, but the ratio of two values is not, are called interval variables.[2] Precision: Precision is the closeness of agreement between measured quantity values obtained by replicate measurements on the same or similar experimental units under specified conditions [2]. Quantitative Imaging Biomarker: (QIB) an objective characteristic derived from an in vivo image MEASURED on a ratio or interval scale as indicators of normal biological processes, pathogenic processes or a response to a therapeutic intervention.[2] Ratio variable: A variable such that the difference between any two measures is meaningful and any two values have meaningful , making the operations of multiplication and division meaningful. A ratio variable possesses a meaningful (unique and non-arbitrary) zero value. [2] Repeatability: Repeatability represents the measurement precision under a set of repeatability conditions of measurement. [2] Repeatability condition of measurement: The repeatability condition of measurement is derived out of a set of conditions that includes the same measurement procedure, same operators, same measuring system, same operating conditions and same physical location, and replicate measurements on the same or similar experimental units over a short period of time [2]. Repeatability coefficient (RC): The least significant difference between two repeated measurements taken under identical conditions at a two-sided significance of α=0.05: where sw2 is an estimate of σw2, the within-subject variance. [3]
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