Second semester
Introduction to Survival Analysis
Objectifs
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
Plan
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.)
Prérequis
Probability, statistical inference, regression; R programming