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How does Poisson kriging compare to the popular BYM model for mapping disease risks?
BACKGROUND: Geostatistical techniques are now available to account for spatially varying population sizes and spatial patterns in the mapping of disease rates. At first glance, Poisson kriging represents an attractive alternative to increasingly popular Bayesian spatial models in that: 1) it is easi...
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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2008
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2276482/ https://ncbi.nlm.nih.gov/pubmed/18248676 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1476-072X-7-6 |
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