Survival Analysis

3 units

This course introduces the fundamental theoretical and applied principles of survival analysis for modeling time-to-event data. Core topics include survival and hazard functions, censoring and truncation, Kaplan–Meier and Nelson–Aalen estimators, cohort life tables, and likelihood construction for censored and truncated data. The course covers estimation of hazard and survival functions, the Cox proportional hazards (PH) model with fixed and time-dependent covariates, and methods for model selection. Additional topics include regression diagnostics for survival models, stratified PH models, parametric regression models, and competing risks analysis. Computer lab sessions provide hands-on experience with real-world datasets to reinforce methodological concepts and data analysis skills.