Partitioning to Uncover Conditions for Permutation Tests to Control Multiple Testing Error Rates

DOI10.1002/BIMJ.200710471zbMath1442.62295OpenAlexW1970920130WikidataQ44066778 ScholiaQ44066778MaRDI QIDQ5123110

Jason C. Hsu, Violeta Calian, Dong-Mei Li

Publication date: 25 September 2020

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.200710471

zbMATH Keywords

permutation testserror rategene expressionsquantitative trait locipartitioning principle

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

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Optimal exact tests for multiple binary endpoints ⋮ Improved power of familywise error rate procedures for discrete data under dependency ⋮ Simultaneous confidence intervals for ranks using the partitioning principle

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