Survival Analysis in R
Synopsis
Statistical theory for widelyused Cox models for survival analysis will be focus. Practical sessions will be given using R and a variety of packages available for survival techniques. Examples will be drawn from medical applications of survival analysis, available at the book: “Análise de Sobrevivência: Teoria e Aplicações em Saúde. 2011. Author: Carvalho et al. Second edition. Editora Fiocruz”.
Target audience
Medical statisticians, epidemiologists and other healthrelated professionals who are interested in model survival data by semiparametric cox model using R.
Topics
 Features of survival data
 Survival and hazard function
 Estimating the survival function by KaplanMeier
 Comparison of two groups: common hypothesis tests
 Modelling the hazard function: The Cox proportional hazards model
 Model comparison
 Stratified Cox model
 Model diagnostics
 Timedependent covariates in the Cox model
Schedule
This is a twodays course with the following structure:
 09:30  11:00 Lecture (computer lab)
 11:00  11:15 Coffee break
 11:15  12:30 Lecture (computer lab)
 12:15  13:15 Lunch (not provided)
 14:00  15:30 Lecture
 15:30 15:45 Coffee break (Computer lab)
 15:45  17:00 Lecture (Computer lab)
Lecturer
Valeska Andreozzi, Researcher at the Center of Statistics and Applications of University of Lisbon
Registration

