Estimating multilevel regional variation in excess mortality of cancer patients using integrated nested Laplace approximation
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Publication:6625683
DOI10.1002/SIM.8010zbMATH Open1545.62552WikidataQ58549660 ScholiaQ58549660MaRDI QIDQ6625683
Håvard Rue, Karri Seppä, M. J. Sillanpää, Janne Pitkäniemi, Esa Läärä, Timo Hakulinen
Publication date: 28 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Markov chain Monte Carlo (MCMC)integrated nested Laplace approximation (INLA)excess mortalityregional variationcancer survival
Cites Work
- On Estimation in Relative Survival
- Improving the INLA approach for approximate Bayesian inference for latent Gaussian models
- Bayesian image restoration, with two applications in spatial statistics (with discussion)
- Bayesian computing with INLA: new features
- Penalising model component complexity: a principled, practical approach to constructing priors
- Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
- Bayesian inference for generalized linear mixed models
- An approach to estimation in relative survival regression
- Proportional excess hazards
- A Relative Survival Model for Clustered Responses
- Spatial and Spatio‐temporal Bayesian Models with R‐INLA
- Regional variation in relative survival -- quantifying the effects of the competing risks of death by using a cure fraction model with random effects
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