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

被引：0
|
作者：
Matthew Shane Loop
Leslie A McClure
机构：
[1] University of Alabama at Birmingham,Department of Biostatistics
来源：
International Journal of Health Geographics | / 14卷
关键词：
Ripley’s K function; Overall clustering; Point process; Family wise error rate (FWE); Multiple testing;
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