Competing risks and multi-state models: concepts, methods and software
MEB is pleased to announce that Ronald Geskus and Hein Putter will present a 4-day course on the concepts, methods and application of competing risks and multi-state models at Karolinska Institutet in Stockholm, Sweden.
Competing risks and multi-state models play an increasingly important role in the analysis of time to event data. Competing risks occur in the analysis of time-to-event data with different types of end points. For competing risks models, there is a lot of confusion with respect to the quantities that can be estimated and their interpretation. Once the concepts are understood and the proper type of analysis has been chosen, most analyses can be performed with standard software for the analysis of right censored and/or left truncated time-to-event data. Multi-state models extend competing risks models to the analysis of what happens beyond some first event, by allowing individuals to progress through different states. Estimation is reasonably straightforward, at least as long as all transitions are observed without uncertainty. Then, the real challenge is in (dynamic) prediction. The course will alternate sessions that are devoted to explanation of the theory with sessions in which the concepts learned can be practiced through exercises, mostly by using the R statistical computing environment. A good working knowledge of survival analysis and R is recommended.
Ronald Geskus (Academic Medical Centre, Amsterdam) and Hein Putter (Leiden University Medical Centre).
Date and Location
The course will be held at Karolinska Institutet in Stockholm, Sweden, at the Department of Medical Epidemiology and Biostatistics.
It's not decided when the course will be given next time.