False Discovery Proportion Estimation by Permutations: Confidence for Significance Analysis of Microarrays

DOI10.1111/rssb.12238zbMath1380.62232OpenAlexW2624124934MaRDI QIDQ4603817

Jesse Hemerik, Jelle J. Goeman

Publication date: 19 February 2018

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/1887/75997

zbMATH Keywords

confidencepermutationmultiple testingfalse discovery proportion

Mathematics Subject Classification ID

Nonparametric tolerance and confidence regions (62G15) Paired and multiple comparisons; multiple testing (62J15)

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Cites Work

• Exceedance Control of the False Discovery Proportion
• Multiple hypothesis testing in microarray experiments.
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• Significance analysis of microarrays applied to the ionizing radiation response
• The effect of correlation in false discovery rate estimation
• False Discovery Control for Multiple Tests of Association Under General Dependence
• Rotation‐based multiple testing in the multivariate linear model
• Lower bounds for the number of false null hypotheses for multiple testing of associations under general dependence structures
• On closed testing procedures with special reference to ordered analysis of variance
• Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach
• A Direct Approach to False Discovery Rates
• The Large-Sample Power of Tests Based on Permutations of Observations
• Multiple testing for exploratory research
• Unnamed Item

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