Correcting false discovery rates for their bias toward false positives

DOI10.1080/03610918.2019.1630432zbMath1497.62203OpenAlexW2277687562WikidataQ127639005 ScholiaQ127639005MaRDI QIDQ5082808

David R. Bickel, Abbas Rahal

Publication date: 21 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10393/34277

zbMATH Keywords

empirical Bayesprinciple of maximum entropymultiple testinglocal false discovery ratemultiple comparison procedureBayesian false discovery rate

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Empirical decision procedures; empirical Bayes procedures (62C12) Paired and multiple comparisons; multiple testing (62J15)

Related Items (5)

Null Hypothesis Significance Testing Interpreted and Calibrated by Estimating Probabilities of Sign Errors: A Bayes-Frequentist Continuum ⋮ Null Hypothesis Significance Testing Defended and Calibrated by Bayesian Model Checking ⋮ The \(p\)-value interpreted as the posterior probability of explaining the data: applications to multiple testing and to restricted parameter spaces ⋮ Fiducialize statistical significance: transformingp-values into conservative posterior probabilities and Bayes factors ⋮ Model fusion and multiple testing in the likelihood paradigm: shrinkage and evidence supporting a point null hypothesis

Uses Software

• mixfdr

Cites Work

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• Estimators of the local false discovery rate designed for small numbers of tests
• Operating Characteristics and Extensions of the False Discovery Rate Procedure
• Small‐scale Inference: Empirical Bayes and Confidence Methods for as Few as a Single Comparison
• Large-Scale Simultaneous Hypothesis Testing

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