This workshop, held over two days, covers basic concepts of and common analytical approaches for time-to-event data, known variously as survival analysis (in biological and medical sciences), event history analysis (in social sciences), or reliability analysis (in engineering).
The workshop will be held in a computer lab and the methods will be illustrated with hands-on exercises.
Exercises and examples will use SAS, R, SPSS, and/or Stata as necessary. This workshop covers:
- Basic concepts associated with the analysis of censored data (survival function, hazard function)
- Methods for estimating the survival function (Kaplan-Meier, Nelson-Aalen, and life-table analysis)
- Two-sample tests with censored data (log-rank and Wilcoxon tests)
- Regression analysis with censored data (Cox proportional hazards, Weibull, Aalen additive hazards), including time varying covariates, correlated data, and stratified Cox models
- Discrete models for censored data (logistic regression, Poisson regression)
- Basics of power and sample size estimation for time-to-event studies.