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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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Dettagli Bibliografici
Pubblicato in:Stat Methods Med Res
Autori principali: Carroll, Rachel, Lawson, Andrew B, Faes, Christel, Kirby, Russell S, Aregay, Mehreteab, Watjou, Kevin
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2016
Soggetti:
Accesso online: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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