Survival Analysis

Catalog description

GR Survival analysis refers to the statistical approach to analyze the occurrence and timing of events. Students will gain familiarity with the characteristics of time-to-event data such as the presence of censoring and time-varying covariates, and will learn to master the necessary statistical techniques to design and analyze studies with survival data, including the construction and interpretation of Kaplan-Meier estimates and the Cox proportional hazards model. This course also extends the standard Cox model by introducing time-varying covariates and stratification as a way of dealing with non-proportionality of hazards. The course utilizes the software SAS and especially PROC LIFETEST and PROC PHREG. This 2 credit course is taught with hands-on exercises and the student is expected to bring his/her own computer with a fully functional SAS installation.