Accounting for regional background and population size in the detection of spatial clusters and outliers using geostatistical filtering and spatial neutral models: the case of lung cancer in Long Island, New York

BACKGROUND: Complete Spatial Randomness (CSR) is the null hypothesis employed by many statistical tests for spatial pattern, such as local cluster or boundary analysis. CSR is however not a relevant null hypothesis for highly complex and organized systems such as those encountered in the environment...

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Detalles Bibliográficos
Autores principales: Goovaerts, Pierre, Jacquez, Geoffrey M
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC506783/
https://www.ncbi.nlm.nih.gov/pubmed/15272930
http://dx.doi.org/10.1186/1476-072X-3-14

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC506783/
https://www.ncbi.nlm.nih.gov/pubmed/15272930
http://dx.doi.org/10.1186/1476-072X-3-14

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