On improving some adaptive BH procedures controlling the FDR under dependence

DOI10.1214/13-EJS855zbMath1349.62339OpenAlexW1966728392MaRDI QIDQ384261

Mohammad Hasan, H. S. Yoon

Publication date: 27 November 2013

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ejs/1384179699

zbMATH Keywords

positive dependencemultiple testingfalse discovery rateadaptive BH procedurespairwise correlations

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Paired and multiple comparisons; multiple testing (62J15)

Related Items

Minimally adaptive BH: A tiny but uniform improvement of the procedure of Benjamini and Hochberg, Group sequential BH and its adaptive versions controlling the FDR

Uses Software

• someKfwer

Cites Work

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• On adaptive procedures controlling the familywise error rate
• On methods controlling the false discovery rate
• Empirical null and false discovery rate inference for exponential families
• An adaptive step-down procedure with proven FDR control under independence
• Classes of orderings of measures and related correlation inequalities. I. Multivariate totally positive distributions
• Multiple hypothesis testing in microarray experiments.
• Estimation of the proportion of true null hypotheses in high-dimensional data under dependence
• The control of the false discovery rate in multiple testing under dependency.
• Some results on false discovery rate in stepwise multiple testing procedures.
• A stochastic process approach to false discovery control.
• FDR-controlling stepwise procedures and their false negatives rates
• On stepwise control of the generalized familywise error rate
• Generalizing Simes' test and Hochberg's stepup procedure
• Generalizations of the familywise error rate
• Adaptive FDR control under independence and dependence
• A general framework for multiple testing dependence
• k-FWER Control without p -value Adjustment, with Application to Detection of Genetic Determinants of Multiple Sclerosis in Italian Twins
• Adaptive linear step-up procedures that control the false discovery rate
• Proportion of Non-Zero Normal Means: Universal Oracle Equivalences and Uniformly Consistent Estimators
• A note on adaptive Bonferroni and Holm procedures under dependence
• Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach
• Estimating the Null and the Proportion of Nonnull Effects in Large-Scale Multiple Comparisons
• Statistical significance for genomewide studies
• Estimating the Proportion of True Null Hypotheses, with application to DNA Microarray Data