Comparison of tests for spatial heterogeneity on data with global clustering patterns and outliers

BACKGROUND: The ability to evaluate geographic heterogeneity of cancer incidence and mortality is important in cancer surveillance. Many statistical methods for evaluating global clustering and local cluster patterns are developed and have been examined by many simulation studies. However, the perfo...

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Detalles Bibliográficos
Autores principales: Jackson, Monica C, Huang, Lan, Luo, Jun, Hachey, Mark, Feuer, Eric
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2770045/
https://www.ncbi.nlm.nih.gov/pubmed/19822013
http://dx.doi.org/10.1186/1476-072X-8-55

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2770045/
https://www.ncbi.nlm.nih.gov/pubmed/19822013
http://dx.doi.org/10.1186/1476-072X-8-55

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