Multiple testing for exploratory research

DOI10.1214/11-STS356zbMath1331.62369arXiv1208.2841OpenAlexW3099580112MaRDI QIDQ5963767

Jelle J. Goeman, Aldo Solari

Publication date: 23 February 2016

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1208.2841

zbMATH Keywords

closed testingconfidence setfalse discovery proportion

Mathematics Subject Classification ID

Related Items (28)

Admissible ways of merging \(p\)-values under arbitrary dependence ⋮ E-values: calibration, combination and applications ⋮ Estimating minimum effect with outlier selection ⋮ A multiple testing method for hypotheses structured in a directed acyclic graph ⋮ Hierarchical inference for genome-wide association studies: a view on methodology with software ⋮ Large‐scale simultaneous inference under dependence ⋮ Closed Testing with Globaltest, with Application in Metabolomics ⋮ Trade-off Between Validity and Efficiency of Merging P-Values Under Arbitrary Dependence ⋮ Filtering the Rejection Set While Preserving False Discovery Rate Control ⋮ Exceedance control of the false discovery proportion via high precision inversion method of berk-Jones statistics ⋮ Testing partial conjunction hypotheses under dependency, with applications to meta-analysis ⋮ Replicability across multiple studies ⋮ Post hoc confidence bounds on false positives using reference families ⋮ Adaptive novelty detection with false discovery rate guarantee ⋮ Confidence and discoveries with \(e\)-values ⋮ Testing with \(\mathrm{p}^*\)-values: between p-values, mid p-values, and e-values ⋮ False Discovery Proportion Estimation by Permutations: Confidence for Significance Analysis of Microarrays ⋮ F-distribution calibrated empirical likelihood ratio tests for multiple hypothesis testing ⋮ Controlling the false discovery exceedance for heterogeneous tests ⋮ A tutorial on statistically sound pattern discovery ⋮ Hommel's procedure in linear time ⋮ Simultaneous high-probability bounds on the false discovery proportion in structured, regression and online settings ⋮ A region-based multiple testing method for hypotheses ordered in space or time ⋮ Exact testing with random permutations ⋮ Discussion of ``Multiple testing for exploratory research by J. J. Goeman and A. Solari ⋮ Only closed testing procedures are admissible for controlling false discovery proportions ⋮ Logical and test consistency in pairwise multiple comparisons ⋮ Semi-supervised multiple testing

Cites Work

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