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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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| 出版年: | Environmetrics |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2017
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| 主題: | |
| オンライン･アクセス: | 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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