© 2017 Taylor & Francis Group, LLC. The goal of this work is to describe how the last version available of the survsim R package can be used to simulate a cohort in a competing risks context by means of a cause-specific hazards model following the ideas introduced by Beyersmann in 2009, and also allowing for individual heterogeneity through a random effect. An example of its application based on a real cohort will be discussed.
|Journal||Communications in Statistics: Simulation and Computation|
|Publication status||Published - 9 Aug 2017|
- Competing risks