Second semester
Introduction to Survival Analysis
Objectives
Specific aspects of statistical time modeling
be familiar with basic model laws and inference procedures
Understand the underlying assumptions of different approaches, particularly regression models
Fit appropriate models to data using specialized software
Course outline
Censoring and truncation mechanisms
Parametric (Weibull,…) and non-parametric (Kaplan-Meier,…) models and associated inference
Multi-sample survival comparisons
Regression models (Cox Proportional Hazards, Accelerated Failure Time, etc.)
Prerequisites
Probability, statistical inference, regression; R programming