Spatially-dependent Bayesian model selection for disease mapping

In disease mapping where predictor effects are to be modeled, it is often the case that sets of predictors are fixed, and the aim is to choose between fixed model sets. Model selection methods, both Bayesian model selection and Bayesian model averaging, are approaches within the Bayesian paradigm fo...

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Bibliographic Details
Published in:Stat Methods Med Res
Main Authors: Carroll, Rachel, Lawson, Andrew B, Faes, Christel, Kirby, Russell S, Aregay, Mehreteab, Watjou, Kevin
Format: Artigo
Language:Inglês
Published: 2016
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Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC5374035/
https://ncbi.nlm.nih.gov/pubmed/28034176
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280215627298
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