Research School for Socio-Economic and
Natural Sciences of the Environment
Research School for Socio-Economic and
Natural Sciences of the Environment

Survival Analysis

Date: 10 April 2019 - 11 April 2019
Location: Wageningen

Survival analysis was originally developed in medical statistics, to analyse the effects of covariates on survival times (hence its name). The purpose of such analyses is for instance to find out whether certain treatments reduce the incidence of death. The methods are especially designed to take so-called “censored data” into account, when death occurs due to other causes than the studied disease or patients survive until the end of the study. Techniques from survival analysis can be applied in a variety of biological contexts, whenever data consist of time until occurrence of a certain event. Examples are many types of behavioural data, times until recapture, and latency data.

The course consists of one full day during which we will introduce the concept of survival analysis and show how to apply the methods to biological data. Main subjects are how to handle censored data, estimation of Kaplan-Meier survivor curves, the Log-Rank test for testing differences between survival times, and Cox' regression model for estimating and testing effects of covariates. Lectures will be alternated with time for practice, where participants apply the methods with either SAS or R.

Course FrequencyOnce every two or three years
LevelBasic statistical knowledge is required
Intended credits0.3 ECTS
Course organisationThe C.T. de Wit Graduate School for Production Ecology and Resource Conservation (PE&RC)
More informationCourse website

Former occurrences of this course

  • 17-18 May 2018
  • 29 January 2016