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. 2024 Sep 10;43(20):3975-4010.
doi: 10.1002/sim.10160. Epub 2024 Jun 23.

Bayesian survival analysis with INLA

Danilo Alvares  1 , Janet van Niekerk  2 , Elias Teixeira Krainski  2 , Håvard Rue  2 , Denis Rustand  2
Affiliations

Bayesian survival analysis with INLA

Danilo Alvares et al. Stat Med. .

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." 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.

Keywords: Bayesian inference; INLA; R‐packages; joint modeling; time‐to‐event analysis.

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References

REFERENCES

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