论文标题
贝叶斯生存分析与inla
Bayesian survival analysis with INLA
论文作者
论文摘要
该教程显示了如何使用Inla和Inlajoint R包装以清晰，清晰且易于理解的方式使用集成的嵌套拉普拉斯近似方式拟合各种贝叶斯生存模型。这样的模型包括加速故障时间，比例危害，混合疗法，竞争风险，多状态，脆弱和纵向和生存数据的联合模型，最初在文章“使用错误的贝叶斯生存分析”（Alvares等，2021）中介绍。此外，我们说明了针对纵向半连续标记，经常性事件和终端事件的新联合模型的实现。我们的建议旨在为读者提供语法示例，以使用快速准确的近似贝叶斯推论方法来实施生存模型。
This tutorial shows how various Bayesian survival models can be fitted using the integrated nested Laplace approximation in a clear, legible, and comprehensible manner using the INLA and INLAjoint R-packages. Such models include accelerated failure time, proportional hazards, mixture cure, competing risks, multi-state, frailty, and joint models of longitudinal and survival data, originally presented in the article "Bayesian survival analysis with BUGS" (Alvares et al., 2021). In addition, we illustrate the implementation of a new joint model for a longitudinal semicontinuous marker, recurrent events, and a terminal event. Our proposal aims to provide the reader with syntax examples for implementing survival models using a fast and accurate approximate Bayesian inferential approach.
