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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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| 出版年: | Ann Epidemiol |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2016
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| 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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