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Spatial and Spatio-Temporal Models for Modeling Epidemiological Data with Excess Zeros
Epidemiological data often include excess zeros. This is particularly the case for data on rare conditions, diseases that are not common in specific areas or specific time periods, and conditions and diseases that are hard to detect or on the rise. In this paper, we provide a review of methods for m...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2015
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4586626/ https://www.ncbi.nlm.nih.gov/pubmed/26343696 http://dx.doi.org/10.3390/ijerph120910536 |