Survival Analysis (BMDS 252)

3 credits · Graduate

The course introduces basic concepts, theoretical basis and statistical methods associated with survival data. Topics include censoring, parametric model for survival time, Kaplan-Meier estimation, logrank test, proportional hazards regression, restricted mean survival time, survival analysis in group-sequential clinical trial, and extensions such as competing risk, multivariate survival time and recurrent event data. The traditional counting process/martingale methods as well as modern empirical process methods will be covered. The course will focus on providing methodological basis of survival analysis. Prerequisite: Understanding of basic probability theory and statistical inference methods.