This tutorial uses the conjunction of INLA and INLAjoint R-packages to show how various Bayesian survival models can be fitted using the integrated nested Laplace approximation in a clear, legible, and comprehensible manner. 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 Bayesian inferential approach.

翻译：这个指导性模型使用INLA和INLA联合R组合组合组合来显示如何以清晰、可读和易懂的方式利用综合嵌巢式拉普尔近似值来安装各种巴伊西亚生存模型,其中包括加速故障时间、比例危害、混合治愈、相互竞争的风险、多州、脆弱以及纵向和生存数据联合模型,这些模型最初在“巴伊西亚与BUGS的存活分析”(Alvares等人,2021年)中提出。此外,我们还介绍了采用新的联合模型,用于纵向半连续标记、经常性事件和终点事件。我们的建议旨在为读者提供使用快速准确的巴伊西亚推断方法实施生存模型的综合税实例。