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arXiv · 2212.01900

Bayesian survival analysis with INLA

Danilo Alvares·Janet van Niekerk·Elias Teixeira Krainski·Håvard Rue·Denis Rustand
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Abstract

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.

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Danilo Alvares, Janet van Niekerk, Elias Teixeira Krainski, Håvard Rue, Denis Rustand. 2022-12-04. Bayesian survival analysis with INLA. https://arxiv.org/abs/2212.01900

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