Asymptotic optimality of the Westfall-Young permutation procedure for multiple testing under dependence
From MaRDI portal
Publication:450006
DOI10.1214/11-AOS946zbMath1246.62124arXiv1106.2068OpenAlexW3103280585WikidataQ57707423 ScholiaQ57707423MaRDI QIDQ450006
Marloes H. Maathuis, Nicolai Meinshausen, Peter Bühlmann
Publication date: 3 September 2012
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1106.2068
asymptotic optimalityfamilywise error ratesparsityhigh-dimensional inferencerank-based nonparametric tests
Related Items
Uncertainty quantification for the family-wise error rate in multivariate copula models, Rotation‐based multiple testing in the multivariate linear model, Combining independent p-values in replicability analysis: a comparative study, Statistical significance in high-dimensional linear models, High-dimensional simultaneous inference with the bootstrap, A tutorial on statistically sound pattern discovery, False discovery rate control under Archimedean copula, Improved power of familywise error rate procedures for discrete data under dependency, Permutation testing in high-dimensional linear models: an empirical investigation, Permutation test for heterogeneous treatment effects with a nuisance parameter, On the power of some sequential multiple testing procedures
Cites Work
- Unnamed Item
- Unnamed Item
- Innovated higher criticism for detecting sparse signals in correlated noise
- Estimating the proportion of false null hypotheses among a large number of independently tested hypotheses
- The sequential rejection principle of familywise error control
- Genome-wide significance levels and weighted hypothesis testing
- Robustness of multiple testing procedures against dependence
- Resampling-based multiple testing for microarray data analysis (With comments)
- Multiple hypothesis testing in microarray experiments.
- Resampling-based false discovery rate controlling multiple test procedures for correlated test statistics.
- The control of the false discovery rate in multiple testing under dependency.
- Multiple testing procedures with applications to genomics.
- Properties of higher criticism under strong dependence
- Statistical methods for detecting stellar occultations by Kuiper Belt objects: the Taiwanese--American occultation survey
- Adaptive FDR control under independence and dependence
- Large-Scale Multiple Testing under Dependence
- False Discovery Control for Multiple Tests of Association Under General Dependence
- Adaptive linear step-up procedures that control the false discovery rate
- False discovery control with p-value weighting
- Correlation and Large-Scale Simultaneous Significance Testing
- Exact and Approximate Stepdown Methods for Multiple Hypothesis Testing
