Testing for clustering at many ranges inflates family-wise error rate (FWE)

BACKGROUND: Testing for clustering at multiple ranges within a single dataset is a common practice in spatial epidemiology. It is not documented whether this approach has an impact on the type 1 error rate. METHODS: We estimated the family-wise error rate (FWE) for the difference in Ripley’s K funct...

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Detalles Bibliográficos
Autores principales: Loop, Matthew Shane, McClure, Leslie A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4326498/
https://www.ncbi.nlm.nih.gov/pubmed/25588612
http://dx.doi.org/10.1186/1476-072X-14-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4326498/
https://www.ncbi.nlm.nih.gov/pubmed/25588612
http://dx.doi.org/10.1186/1476-072X-14-4

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