Swiss Winter School · Competing risks & multi-state
A Swiss Epidemiology Winter School course on competing risks and multi-state models, built on flexible parametric survival models with restricted cubic splines.
What this course covers
Past edition
This course introduces participants to analysing data using competing risks and multi-state modelling approaches. It emphasises flexible parametric survival models that incorporate restricted cubic splines, and provides practical training in clinically useful predictions for complex disease pathways.
The primary software for the course is Stata, but full R solutions to all practical exercises are also provided. The course is delivered as part of the Swiss Epidemiology Winter School.
Full course title: Swiss Epidemiology Winter School: Competing risks and multi-state models
At a glance
What you'll learn
Competing risks
Competing-risks concepts and their interpretation.
Multi-state models
Multi-state extensions for complex disease pathways.
Flexible parametric models
Flexible parametric survival models with restricted cubic splines.
Time-dependent effects
Time-dependent effects (non-proportional hazards) and the Markov assumption and its relaxations.
Clinical predictions
Generating clinically useful predictions, illustrated with real-world examples.
Audience & prerequisites
Who it's for
Researchers and statisticians working with survival analysis.
Prerequisites
A working knowledge of standard survival analysis is recommended.