Randomized ‐values for multiple testing and their application in replicability analysis

Author:

Hoang Anh‐Tuan1ORCID,Dickhaus Thorsten1ORCID

Affiliation:

1. Institute for Statistics University of Bremen Bremen Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Reference32 articles.

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2. Selective inference in complex research;Benjamini Y.;Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences,2009

3. Controlling the false discovery rate: A practical and powerful approach to multiple testing;Benjamini Y.;Journal of the Royal Statistical Society Series B: Statistical Methodology,1995

4. Adaptive false discovery rate control under independence and dependence;Blanchard G.;Journal of Machine Learning Research,2009

5. Discovering findings that replicate from a primary study of high dimension to a follow‐up study;Bogomolov M.;Journal of the American Statistical Association,2013

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multiple testing of composite null hypotheses for discrete data using randomized p‐values;Biometrical Journal;2023-10-19

2. Combining independent p-values in replicability analysis: a comparative study;Journal of Statistical Computation and Simulation;2022-01-09

3. On the usage of randomized p-values in the Schweder–Spjøtvoll estimator;Annals of the Institute of Statistical Mathematics;2021-04-28

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