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Comparing adaptive and fixed bandwidth-based kernel density estimates in spatial cancer epidemiology
BACKGROUND: Monitoring spatial disease risk (e.g. identifying risk areas) is of great relevance in public health research, especially in cancer epidemiology. A common strategy uses case-control studies and estimates a spatial relative risk function (sRRF) via kernel density estimation (KDE). This st...
Enregistré dans:
| Publié dans: | Int J Health Geogr |
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| Auteurs principaux: | , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2015
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4389444/ https://ncbi.nlm.nih.gov/pubmed/25889018 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12942-015-0005-9 |
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