Randomized \(p\)-values for multiple testing of composite null hypotheses
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Publication:394102
DOI10.1016/j.jspi.2013.06.011zbMath1279.62150OpenAlexW1980893505MaRDI QIDQ394102
Publication date: 24 January 2014
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.2013.06.011
false discovery ratefamily wise error ratedata-adaptive multiple testsquantile transformationsSchweder-Spjøtvoll estimatorsimultaneous statistical inference
Related Items (6)
On the usage of randomized p-values in the Schweder-Spjøtvoll estimator ⋮ Uncertainty quantification for the family-wise error rate in multivariate copula models ⋮ Estimating the proportion of true null hypotheses under dependency: a marginal bootstrap approach ⋮ Randomized ‐values for multiple testing and their application in replicability analysis ⋮ Multiple test functions and adjusted \(p\)-values for test statistics with discrete distributions ⋮ False discovery rate control under Archimedean copula
Cites Work
- Unnamed Item
- Robustness of multiple testing procedures against dependence
- On the false discovery rate and an asymptotically optimal rejection curve
- The positive false discovery rate: A Bayesian interpretation and the \(q\)-value
- Empirically relevant critical values for hypothesis tests: A bootstrap approach
- Decision theory results for one-sided multiple comparison procedures
- Characterization of Bayes procedures for multiple endpoint problems and inadmissibility of the step-up procedure
- A stochastic process approach to false discovery control.
- Multiple hypothesis testing on composite nulls using constrained \(p\)-values
- Exact calculations for false discovery proportion with application to least favorable configura\-tions
- False Discovery Rate Control of Step-Up-Down Tests with Special Emphasis on the Asymptotically Optimal Rejection Curve
- How to analyze many contingency tables simultaneously in genetic association studies
- RandomisedP-values and nonparametric procedures in multiple testing
- A superiority-equivalence approach to one-sided tests on multiple endpoints in clinical trials
- A generalized step-up-down multiple test procedure
- Controlling the Familywise Error Rate with Plug-in Estimator for the Proportion of True Null Hypotheses
- Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach
- An improved Bonferroni procedure for multiple tests of significance
- Some Results on the Control of the False Discovery Rate under Dependence
- Testing Statistical Hypotheses
- Estimating the Proportion of True Null Hypotheses, with application to DNA Microarray Data
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