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;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

共 49 条

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NEUROIMAGE, 2007, 34 (04) : 1562 - 1576
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[37] ISSUES OF CONTROLLING FAMILY-WISE TYPE-I ERROR RATE (FWER) WHEN SIMULTANEOUSLY EVALUATING NON-INFERIORITY AND SUPERIORITY USING SEQUENCE TESTING METHODS
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ADVANCES AND APPLICATIONS IN STATISTICS, 2011, 23 (01) : 53 - 57
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JOURNAL OF CLINICAL AND EXPERIMENTAL NEUROPSYCHOLOGY, 2004, 26 (03) : 320 - 331
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Li, Wen
Zhou, Heng
Jia, Calvin
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CONTEMPORARY CLINICAL TRIALS, 2022, 119
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Flandin, Guillaume
Friston, Karl J.
HUMAN BRAIN MAPPING, 2019, 40 (07) : 2052 - 2054

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