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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Detalles Bibliográficos
Autores principales: Goovaerts, Pierre, Gebreab, Samson
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2276482/
https://www.ncbi.nlm.nih.gov/pubmed/18248676
http://dx.doi.org/10.1186/1476-072X-7-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2276482/
https://www.ncbi.nlm.nih.gov/pubmed/18248676
http://dx.doi.org/10.1186/1476-072X-7-6

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