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We introduce a new class of methods for finite-sample false discovery rate (FDR) control in multiple testing problems with dependent test statistics where the dependence is fully or partially known.
Completeness, similar regions, and unbiased estimation: Part ii
EL Lehmann and Henry Scheffé · 1955
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Control of directional errors with stagewise multiple test procedures
Juliet Popper Shaffer · 1980
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Controlling the false discovery rate: a practical and powerful approach to multiple testing
Yoav Benjamini and Yosef Hochberg · 1995
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Regression shrinkage and selection via the lasso
Robert Tibshirani · 1996
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Multiple hypotheses testing with weights
Yoav Benjamini and Yosef Hochberg · 1997
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Stepwise multiple test procedures and control of directional errors
Helmut Finner · 1999
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Stepwise normal theory multiple test procedures controlling the false discovery rate
James F Troendle · 2000
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The control of the false discovery rate in multiple testing under dependency
Yoav Benjamini and Daniel Yekutieli · 2001
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Operating characteristics and extensions of the false discovery rate procedure
Christopher Genovese and Larry Wasserman · 2002
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A direct approach to false discovery rates
John D Storey · 2002
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The positive false discovery rate: a bayesian interpretation and the q-value
John D Storey · 2003
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A stochastic process approach to false discovery control
Christopher Genovese and Larry Wasserman · 2004
Earlier work this paper cites.
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
Earlier work this paper cites.
Testing statistical hypotheses
EL Lehmann and Joseph P Romano · 2005
Earlier work this paper cites.
Hiv-1 protease and reverse-transcriptase mutations: correlations with antiretroviral therapy in subtype b isolates and implications for drug-resistance surveillance
Soo-Yon Rhee, W Jeffrey Fessel, Andrew R Zolopa, Leo Hurley, Tommy Liu, Jonathan Taylor, Dong Phuong Nguyen, Sally Slome, Daniel Klein, Michael Horberg, et al · 2005
Earlier work this paper cites.
Adaptive linear step-up procedures that control the false discovery rate
Yoav Benjamini, Abba M Krieger, and Daniel Yekutieli · 2006
Cited alongside, same era.
More powerful control of the false discovery rate under dependence
Alessio Farcomeni · 2006
Cited alongside, same era.
On the benjamini–hochberg method
JA Ferreira and AH Zwinderman · 2006
Cited alongside, same era.
False discovery control with p-value weighting
Christopher R Genovese, Kathryn Roeder, and Larry Wasserman · 2006
Cited alongside, same era.
Genotypic predictors of human immunodeficiency virus type 1 drug resistance
Soo-Yon Rhee, Jonathan Taylor, Gauhar Wadhera, Asa Ben-Hur, Douglas L Brutlag, and Robert W Shafer · 2006
Cited alongside, same era.
Some results on the control of the false discovery rate under dependence
Alessio Farcomeni · 2007
Cited alongside, same era.
Optimal multiple testing under a gaussian prior on the effect sizes
Edgar Dobriban, Kristen Fortney, Stuart K Kim, and Art B Owen · 2015
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The p-filter: multilayer false discovery rate control for grouped hypotheses
Rina Foygel Barber and Aaditya Ramdas · 2016
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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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Exact post-selection inference, with application to the lasso
Jason D Lee, Dennis L Sun, Yuekai Sun, and Jonathan E Taylor · 2016
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On procedures controlling the FDR for testing hierarchically ordered hypotheses
Gavin Lynch and Wenge Guo · 2016
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Screening for partial conjunction hypotheses
Yoav Benjamini and Ruth Heller · 2008
Cited alongside, same era.
Two simple sufficient conditions for fdr control
Gilles Blanchard and Etienne Roquain · 2008
Cited alongside, same era.
Effects of dependence in high-dimensional multiple testing problems
Kyung In Kim and Mark A van de Wiel · 2008
Cited alongside, same era.
Control of the false discovery rate under dependence using the bootstrap and subsampling
Joseph P Romano, Azeem M Shaikh, and Michael Wolf · 2008
Cited alongside, same era.
Adaptive false discovery rate control under independence and dependence
Gilles Blanchard and Étienne Roquain · 2009
Cited alongside, same era.
Selection adjusted confidence intervals with more power to determine the sign
Asaf Weinstein, William Fithian, and Yoav Benjamini · 2013
Cited alongside, same era.
Exact post-selection inference for sequential regression procedures
Ryan J Tibshirani, Jonathan Taylor, Richard Lockhart, and Robert Tibshirani · 2016
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A regression framework for the proportion of true null hypotheses
Simina M Boca and Jeffrey T Leek · 2017
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Covariate-powered weighted multiple testing with false discovery rate control
Nikolaos Ignatiadis and Wolfgang Huber · 2017
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Neuralfdr: Learning discovery thresholds from hypothesis features
Fei Xia, Martin J Zhang, James Y Zou, and David Tse · 2017
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Panning for gold: ’model-x’ knockoffs for high dimensional controlled variable selection
Emmanuel Candès, Yingying Fan, Lucas Janson, and Jinchi Lv · 2018
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Adapt: an interactive procedure for multiple testing with side information
Lihua Lei and William Fithian · 2018
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knockoff: The Knockoff Filter for Controlled Variable Selection , 2018
Evan Patterson and Matteo Sesia · 2018
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Wesley Tansey, Yixin Wang, David M Blei, and Raul Rabadan · 2018
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Selective inference with a randomized response
Xiaoying Tian and Jonathan Taylor · 2018
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Multiple testing with the structure-adaptive benjamini–hochberg algorithm
Ang Li and Rina Foygel Barber · 2019
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