School EBEB: Bayesian Survival Analysis with BUGS

Survival analysis is one of the most important fields of statistics in medicine and biological sciences. Furthermore, the computational advances in the last decades have favored the use of Bayesian methods in this context, providing a flexible and powerful alternative to the traditional frequentist approach. The goal of this tutorial is to summarize some of the most popular Bayesian survival models, such as accelerated failure time, proportional hazards, competing risks, and joint models of longitudinal and survival data. Moreover, an implementation of each presented model is provided using a BUGS syntax that can be run with JAGS from the R programming language.

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