Applied Survival Analysis


The course aims to introduce statistical methods

for analysing time-to-event data with emphasis on

applications in the health sciences.

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Course content 

The course content includes: characteristics of survival data, methods for estimating survivor functions (Kaplan Meier and Life-tables), comparison of survivor functions using Logrank and Breslow tests, modeling survival data using Cox proportional hazards models and parametric survivor models (exponential and weibull) as well as extension of cox models to cater for time varying covariates; and sample size computation in survival analysis. All analyses will be done using STATA software.


Student in any of the Health Sciences and you should have knowledge of basic statistics and regression methods; and ability to use STATA software.

Assessment methods

Based on assignments, ability to perform different tasks in the course and final written exam.

Last modified: Friday, 29 May 2015, 9:25 AM