Survival Analysis

About

A one-week course in survival analysis for the life sciences. Concrete examples and case studies are used to apply the theory to practical situations. Survival data, or more generally, time-to-event data (where the “event” can be death, disease, recovery, relapse or another outcome), is frequently encountered in the biomedical sciences. Censoring is a problem characteristic to most survival data, and requires special data analytic techniques.

This course will give an introduction to survival analysis and cover many of the types of survival data and analysis techniques regularly encountered in biomedical research. The course will focus on practical examples, with an emphasis on matching data analysis to the research question at hand. The daily schedule includes interactive lectures by experienced and enthusiastic lecturers, interwoven with lab sessions that give students the opportunity to apply the theory to real datasets. Examples from medical and biological research will be used in the exercises.

Course leader

Rebecca Stellato

Fee info