论文标题
纵向和生存数据的贝叶斯关节模型
Bayesian joint models for longitudinal and survival data
论文作者
论文摘要
本文快速查看了纵向和生存数据的贝叶斯关节模型（BJM）。根据纵向和生存过程的采样分布，随机效应的条件分布以及先前的分布，对BJM的一般公式进行了检查。接下来，讨论了根据混合线性模型和COX存活回归模型定义的基本BJM，并简要概述了一些扩展和其他贝叶斯主题。
This paper takes a quick look at Bayesian joint models (BJM) for longitudinal and survival data. A general formulation for BJM is examined in terms of the sampling distribution of the longitudinal and survival processes, the conditional distribution of the random effects and the prior distribution. Next a basic BJM defined in terms of a mixed linear model and a Cox survival regression models is discussed and some extensions and other Bayesian topics are briefly outlined.
