Penalized likelihood and multi-objective spatial scans for the detection and inference of irregular clusters

BACKGROUND: Irregularly shaped spatial clusters are difficult to delineate. A cluster found by an algorithm often spreads through large portions of the map, impacting its geographical meaning. Penalized likelihood methods for Kulldorff's spatial scan statistics have been used to control the exc...

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Detalles Bibliográficos
Autores principales: Cançado, André LF, Duarte, Anderson R, Duczmal, Luiz H, Ferreira, Sabino J, Fonseca, Carlos M, Gontijo, Eliane CDM
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2990730/
https://www.ncbi.nlm.nih.gov/pubmed/21034451
http://dx.doi.org/10.1186/1476-072X-9-55

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2990730/
https://www.ncbi.nlm.nih.gov/pubmed/21034451
http://dx.doi.org/10.1186/1476-072X-9-55

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