Introdution to Survival Analysis

2 Credits.

Introduces fundamental concepts and techniques of survival analysis including censoring, hazard and survival functions, Kaplan-Meier curves and logrank tests. Introduces parametric inferences using the exponential and Weibull distributions. Introduces regression analysis of the Cox proportional hazards model, and its extensions to time-dependent covariates. Discusses special topics, such as non-proportional hazards models and multivariate survival times. Focuses on using data sets from clinical and epidemiological studies to illustrate the introduced statistical methods and to show how to make scientific interpretations from the numerical results. Uses SAS and Stata software for computation. Offers a choice in software based on their own preference when doing exercises. Includes the following topics: censoring, truncation, hazard and survival functions, Kaplan-Meier estimator, log-rank tests, Cox proportional hazards model