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Bayesian structured additive regression modeling of epidemic data: application to cholera
BACKGROUND: A significant interest in spatial epidemiology lies in identifying associated risk factors which enhances the risk of infection. Most studies, however, make no, or limited use of the spatial structure of the data, as well as possible nonlinear effects of the risk factors. METHODS: We dev...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2012
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3528434/ https://www.ncbi.nlm.nih.gov/pubmed/22866662 http://dx.doi.org/10.1186/1471-2288-12-118 |