Chris Andrews is a Statistician in the UM Department of Ophthalmology and Visual Sciences and formerly Research Assistant Professor at the State University of New York, University at Buffalo. He currently is the lead statistician for the Northeast Regional Core of the Women’s Hand and has additional experience as a statistical consultant for Roswell Park Cancer Institute.
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.