Choice of a null distribution in resampling-based multiple testing

DOI10.1016/j.jspi.2003.07.019zbMath1074.62009OpenAlexW2018490949MaRDI QIDQ1888884

Katherine S. Pollard, Mark J. Van der Laan

Publication date: 29 November 2004

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2003.07.019

zbMATH Keywords

BootstrapType I errorPermutationMultiple testingStrong control

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Nonparametric hypothesis testing (62G10) Hypothesis testing in multivariate analysis (62H15) Exact distribution theory in statistics (62E15) Nonparametric statistical resampling methods (62G09)

Related Items

A modification of MaxT procedure using spurious correlations, False discovery rate control with unknown null distribution: is it possible to mimic the oracle?, Some nonasymptotic results on resampling in high dimension. I: Confidence regions, Signal localization: a new approach in signal discovery, Multiple testing and error control in Gaussian graphical model selection, False discovery rate control under Archimedean copula, Power and stability properties of resampling-based multiple testing procedures with applications to gene oncology studies, Mixture Modeling for Genome‐Wide Localization of Transcription Factors, Some Results on the Control of the False Discovery Rate under Dependence, A review of modern multiple hypothesis testing, with particular attention to the false discovery proportion, A Conservative Test for Multiple Comparison Based on Highly Correlated Test Statistics, Bootstrap hypothesis testing for some common statistical problems: a critical evaluation of size and power properties, Testing Marginal Homogeneity Against Stochastic Order in Multivariate Ordinal Data, RandomisedP-values and nonparametric procedures in multiple testing, False discovery rate control for grouped or discretely supported p-values with application to a neuroimaging study

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Multiple hypothesis testing in microarray experiments.
• Resampling-based false discovery rate controlling multiple test procedures for correlated test statistics.
• Weak convergence and empirical processes. With applications to statistics
• Prepivoting Test Statistics: A Bootstrap View of Asymptotic Refinements
• Gene expression analysis with the parametric bootstrap
• The bootstrap and Edgeworth expansion