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Space-time variation of respiratory cancers in South Carolina: A flexible multivariate mixture modeling approach to risk estimation

PURPOSE: Many types of cancer have an underlying spatio-temporal distribution. Spatio-temporal mixture modeling can offer a flexible approach to risk estimation via the inclusion of latent variables. METHODS: In this paper, we examine the application and benefits of using four different spatio-tempo...

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書誌詳細
出版年:Ann Epidemiol
主要な著者: Carroll, Rachel, Lawson, Andrew B, Kirby, Russell S, Faes, Christel, Aregay, Mehreteab, Watjou, Kevin
フォーマット: Artigo
言語:Inglês
出版事項: 2016
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5272780/
https://ncbi.nlm.nih.gov/pubmed/27653555
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.annepidem.2016.08.014
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