Adaptive Choice of the Number of Bootstrap Samples in Large Scale Multiple Testing

DOI10.2202/1544-6115.1360zbMath1276.62072OpenAlexW2002917158WikidataQ37363723 ScholiaQ37363723MaRDI QIDQ2863962

Shyamal D. Peddada, Wenge Guo

Publication date: 5 December 2013

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2752392

zbMATH Keywords

bootstrapconfidence interval\(p\)-valuemultiple testingfalse discovery rateBH procedure

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bootstrap, jackknife and other resampling methods (62F40)

Related Items (7)

QuickMMCTest: quick multiple Monte Carlo testing ⋮ MMCTest-A Safe Algorithm for Implementing Multiple Monte Carlo Tests ⋮ On the expected runtime of multiple testing algorithms with bounded error ⋮ Optimal allocation of Monte Carlo simulations to multiple hypothesis tests ⋮ Closure properties of classes of multiple testing procedures ⋮ A Framework for Monte Carlo based Multiple Testing ⋮ Semi-supervised multiple testing

Uses Software

• ORIOGEN

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