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Adjusting for sampling variability in sparse data: geostatistical approaches to disease mapping
BACKGROUND: Disease maps of crude rates from routinely collected health data indexed at a small geographical resolution pose specific statistical problems due to the sparse nature of the data. Spatial smoothers allow areas to borrow strength from neighboring regions to produce a more stable estimate...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2011
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3204220/ https://www.ncbi.nlm.nih.gov/pubmed/21978359 http://dx.doi.org/10.1186/1476-072X-10-54 |