Resum
© 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.
Idioma original | Anglès |
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Pàgines (de-a) | 5712-5722 |
Revista | Communications in Statistics: Simulation and Computation |
Volum | 46 |
Número | 7 |
DOIs | |
Estat de la publicació | Publicada - 9 d’ag. 2017 |