140.641.01 SURVIVAL ANALYSIS I Discusses basic concepts of
survival analysis, including hazard functions, survival
functions, types of censoring and truncation, Kaplan-Meier
estimates, log-rank tests and their generalization. Parametric
inference includes likelihood estimation and the exponential,
Weibull, log-logistic and other relevant distributions.
Statistical methods and theory for the proportional hazard
models (Cox model) discussed in detail, with extensions to time-
dependent covariates. Clinical and epidemiological examples
included in class presentation and homework illustrate various
statistical procedures. Upon successfully completing this
course, students will be able to: 1. Explain fundamental
concepts in survival analysis. 2. Describe statistical methods
which are useful in medical follow-up studies and in general
time-to-event studies. - Tuesday 3:30 - 4:50 - Thursday 3:30 -
4:50 Biostatistics 140.651 or equivalent. Knowledge of
probability and statistical theory is required. Non-
biostatistics