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Título : | Data-driven inference for the spatial scan statistic. |
Autor : | Almeida, Alexandre Celestino Leite de Duarte, Anderson Ribeiro Duczmal, Luiz Henrique Oliveira, Fernando Luiz Pereira de Takahashi, Ricardo Hiroshi Caldeira |
Fecha de publicación : | 2011 |
Citación : | ALMEIDA, A. C. L. de et al. Data-driven inference for the spatial scan statistic. International Journal of Health Geographics, v. 10, n. 47, p. 1-8, 2011. Disponível em: <http://www.ij-healthgeographics.com/content/pdf/1476-072X-10-47.pdf>. Acesso em: 22 out. 2012. |
Resumen : | Background: Kulldorff’s spatial scan statistic for aggregated area map s searches for cluster s of case s without specifying their size (numb er of areas) or geo graphic location in advance . Their statistical significance is tested while adjusting for the multiple testing inherent in such a procedure. However, as is shown in this work, this adjustment is not don e in an even manner for all possible cluster sizes .Results: A modification is proposed to the usual inference test of the spatial scan statistic, incorporating additional information about the size of the most likely cluster found. A new interpretation of the results of the spatial scan statistic is done, posing a modified inference question: what is the probability that the null hypo thesis is rejected for the original observed cases map with a most likely cluster of size k, taking into account only those most likely clusters of size k found un der null hypothesis for comparison? This question is especially important when the p-value computed by the usual inference process is near the alpha significance level, regarding the correctness of the decision based in this inference. Conclusions : A practical procedure is provide d to make more accurate inferences about the most likely cluster found by the spatial scan statistic. |
URI : | http://www.repositorio.ufop.br/handle/123456789/1735 |
ISSN : | 1476072X |
metadata.dc.rights.license: | Autores de artigos publicados no International Journal of Health Geographics são os detentores do copyright de seus artigos e concederam a qualquer terceiro o direito de usar, repoduzir ou disseminar o artigo. Fonte: International Journal of Health Geographics <http://www.ij-healthgeographics.com/about>. Acesso em: 01 dez. 2013. |
Aparece en las colecciones: | DEMAT - Artigos publicados em periódicos |
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ARTIGO_DataDrivenInference.pdf | 320,15 kB | Adobe PDF | Visualizar/Abrir |
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