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Spatiotemporal multivariate mixture models for Bayesian model selection in disease mapping

It is often the case that researchers wish to simultaneously explore the behavior of and estimate overall risk for multiple, related diseases with varying rarity while accounting for potential spatial and/or temporal correlation. In this paper, we propose a flexible class of multivariate spatio-temp...

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Bibliographic Details
Published in:Environmetrics
Main Authors: Lawson, AB, Carroll, R, Faes, C, Kirby, RS, Aregay, M, Watjou, K
Format: Artigo
Language:Inglês
Published: 2017
Subjects:
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC5722237/
https://ncbi.nlm.nih.gov/pubmed/29230091
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/env.2465
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