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http://www.repositorio.ufop.br/jspui/handle/123456789/1766
Título: | Fast detection of arbitrarily shaped disease clusters. |
Autor(es): | Assunção, Renato Martins Costa, Marcelo Azevedo Tavares, Andréa Iabrudi Ferreira, Sabino José |
Palavras-chave: | Disease clusters Scan statistics Spatial cluster Spatial statistics |
Data do documento: | 2006 |
Referência: | ASSUNÇÃO, R. M. et al. Fast detection of arbitrarily shaped disease clusters. Statistics in Medicine, v. 25, n. 1, p. 723-742, 2006. Disponível em: <http://onlinelibrary.wiley.com/doi/10.1002/sim.2411/pdf>. Acesso em: 12 nov. 2012 |
Resumo: | Disease cluster detection and evaluation have commonly used spatial statistics methods that scan the map with a fixed circular window to locate candidate clusters. Recently, there has been interest in searching for clusters with arbitrary shape. The circular scan test retains high power of detecting a cluster, but does not necessarily identify the exact regions contained in a non-circular cluster particularly well. We propose, implement and evaluate a new procedure that is fast and produces clusters estimates of arbitrary shape in a rich class of possible cluster candidates. We showed that our methods contain the so-called upper level set method as a particular case. We present a power study of our method and, among other results, the main conclusion is that the likelihood-based arbitrarily shaped scan method is not appropriate to _nd a cluster estimate. When the parameter space includes the set of all possible spatial clusters in a map, a large and discrete parameter space, maximum likely cluster estimates tend to overestimate the true cluster by a large extent. This calls for a new approach different from the maximum likelihood method for this important public health problem. |
URI: | http://www.repositorio.ufop.br/handle/123456789/1766 |
ISSN: | 10970258 |
Aparece nas coleções: | DECOM - Artigos publicados em periódicos |
Arquivos associados a este item:
Arquivo | Descrição | Tamanho | Formato | |
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ARTIGO_FastDetectionArbitrarily.pdf Restricted Access | 948,46 kB | Adobe PDF | Visualizar/Abrir |
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