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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2015
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| 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 |