ABSTRACT
Competing risks data are routinely encountered in various medical applications due to the fact that patients may die from different causes. By now, there is a vast literature on the development of models and methods for fitting and analyzing this type of survival data. In this chapter, we provide a comprehensive overview of Bayesian analysis of competing risks data. Specifically, several models for competing risks survival data are presented and their properties are discussed. The posterior computation and Bayesian model comparison are developed. A real dataset from an AIDS study is used to illustrate the Bayesian methodology.
