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Motivated by recent findings in Li and Zhang (2025), which established an equivalence between certain p-value-based multiple testing procedures and the e-Benjamini-Hochberg procedure (Wang and Ramdas, 2022), we introduce a general framework for constructing novel multiple testing methods through the aggregation and combination of e-values.
Controlling the false discovery rate: a practical and powerful approach to multiple testing
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A direct approach to false discovery rates
John D Storey · 2002
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Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach
John D Storey, Jonathan E Taylor, and David Siegmund · 2004
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On the benjamini–hochberg method
JA Ferreira and AH Zwinderman · 2006
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Oracle and adaptive compound decision rules for false discovery rate control
Wenguang Sun and T Tony Cai · 2007
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James X Hu, Hongyu Zhao, and Harrison H Zhou · 2010
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Evaluating gene expression in C57BL/6J and DBA/2J mouse striatum using rna-seq and microarrays
Daniel Bottomly, Nicole AR Walter, Jessica Ezzell Hunter, Priscila Darakjian, Sunita Kawane, Kari J Buck, Robert P Searles, Michael Mooney, Shannon K McWeeney, and Robert Hitzemann · 2011
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Rna-seq transcriptome profiling identifies crispld2 as a glucocorticoid responsive gene that modulates cytokine function in airway smooth muscle cells
Blanca E Himes, Xiaofeng Jiang, Peter Wagner, Ruoxi Hu, Qiyu Wang, Barbara Klanderman, Reid M Whitaker, Qingling Duan, Jessica Lasky-Su, Christina Nikolos, et al · 2014
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Microbiome data distinguish patients with clostridium difficile infection and non-c. difficile-associated diarrhea from healthy controls
Alyxandria M Schubert, Mary AM Rogers, Cathrin Ring, Jill Mogle, Joseph P Petrosino, Vincent B Young, David M Aronoff, and Patrick D Schloss · 2014
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Controlling the false discovery rate via knockoffs
Rina Foygel Barber and Emmanuel J Candès · 2015
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False discovery control in large-scale spatial multiple testing
Wenguang Sun, Brian J Reich, T Tony Cai, Michele Guindani, and Armin Schwartzman · 2015
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Data-driven hypothesis weighting increases detection power in genome-scale multiple testing
Nikolaos Ignatiadis, Bernd Klaus, Judith B Zaugg, and Wolfgang Huber · 2016
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Distribution-free multiple testing
Ery Arias-Castro and Shiyun Chen · 2017
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Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova · 2017
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Microbiomehd: the human gut microbiome in health and disease
Claire Duvallet, Sean Gibbons, Thomas Gurry, Rafael Irizarry, and Eric Alm · 2017
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Panning for gold:‘model-x’knockoffs for high dimensional controlled variable selection
Emmanuel Candes, Yingying Fan, Lucas Janson, and Jinchi Lv · 2018
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Adapt: an interactive procedure for multiple testing with side information
E-values: Calibration, combination and applications
Vladimir Vovk and Ruodu Wang · 2021
Later among the works it cites.
Optimal false discovery rate control for large scale multiple testing with auxiliary information
Hongyuan Cao, Jun Chen, and Xianyang Zhang · 2022
Later among the works it cites.
False discovery rate control with e-values
Ruodu Wang and Aaditya Ramdas · 2022
Later among the works it cites.
Covariate adaptive false discovery rate control with applications to omics-wide multiple testing
Xianyang Zhang and Jun Chen · 2022
Later among the works it cites.
Linda: linear models for differential abundance analysis of microbiome compositional data
Huijuan Zhou, Kejun He, Jun Chen, and Xianyang Zhang · 2022
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Lihua Lei and William Fithian · 2018
Cited alongside, same era.
American gut: an open platform for citizen science microbiome research
Daniel McDonald, Embriette Hyde, Justine W Debelius, James T Morton, Antonio Gonzalez, Gail Ackermann, Alexander A Aksenov, Bahar Behsaz, Caitriona Brennan, Yingfeng Chen, et al · 2018
Cited alongside, same era.
Multiple testing with the structure-adaptive benjamini–hochberg algorithm
Ang Li and Rina Foygel Barber · 2019
Cited alongside, same era.
Robust inference with knockoffs
Rina Foygel Barber, Emmanuel J Candès, and Richard J Samworth · 2020
Cited alongside, same era.
Covariate powered cross-weighted multiple testing
Nikolaos Ignatiadis and Wolfgang Huber · 2021
Cited alongside, same era.
Compound e-values and empirical bayes
Nikolaos Ignatiadis, Ruodu Wang, and Aaditya Ramdas
Cited in the paper.
E-values as unnormalized weights in multiple testing
Nikolaos Ignatiadis, Ruodu Wang, and Aaditya Ramdas
Cited in the paper.
Aaditya Ramdas and Ruodu Wang · 2024
Closest in time.
Derandomised knockoffs: leveraging e-values for false discovery rate control
Zhimei Ren and Rina Foygel Barber · 2024
Closest in time.
Online multiple testing with e-values
Ziyu Xu and Aaditya Ramdas · 2024
Closest in time.
τ \tau -censored weighted benjamini–hochberg procedures under independence
Haibing Zhao and Huijuan Zhou · 2024
Closest in time.
A note on e-values and multiple testing
Guanxun Li and Xianyang Zhang · 2025
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