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Sum-based global tests are highly popular in multiple hypothesis testing.
Statistical Methods for Research Workers
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F. Pesarin · 2001
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D. V. Zaykin, L. A. Zhivotovsky, P. H. Westfall, and B. S. Weir · 2002
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L. Finos · 2003
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T. M. Loughin · 2003
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Permutation methods: a basis for exact inference
M. D. Ernst · 2004
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Rotation tests
Ø. Langsrud · 2005
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False discovery control for multiple tests of association under general dependence
N. Meinshausen · 2005
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Exceedance control of the false discovery proportion
C. R. Genovese and L. Wasserman · 2006
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Testing against a high dimensional alternative
J. J. Goeman, S. A. van de Geer, and H. C. van Houwelingen · 2006
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To permute or not to permute
Y. Huang, H. Xu, V. Calian, and J. C. Hsu · 2006
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Combining p‐values in large‐scale genomics experiments
D. V. Zaykin, L. A. Zhivotovsky, W. Czika, S. Shao, and R. D. Wolfinger · 2007
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The statistical analysis of fMRI data
M. A. Lindquist · 2008
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Properties of balanced permutations
L. K. Southworth, S. K. Kim, and A. B. Owen · 2008
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Circular analysis in systems neuroscience: the dangers of double dipping
N. Kriegeskorte, W. K. Simmons, P. S. F. Bellgowan, and C. I. Baker · 2009
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Multiple testing of gene sets from gene ontology: possibilities and pitfalls
R. J. Meijer and J. J. Goeman · 2016
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R: A Language and Environment for Statistical Computing
R Core Team · 2017
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CAPRI: Calcolo ad Alte Prestazioni per la Ricerca e l’Innovazione
University of Padua · 2017
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Cauchy combination test: a powerful test with analytic p-value calculation under arbitrary dependency structures
Y. Liu and J. Xie · 2018
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All-Resolutions Inference for brain imaging
J. D. Rosenblatt, L. Finos, W. D. Weeda, A. Solari, and J. J. Goeman · 2018
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Simultaneous control of all false discovery proportions in large-scale multiple hypothesis testing
J. J. Goeman, R. J. Meijer, T. J. P. Krebs, and A. Solari · 2019
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Choosing an optimal method to combine p-values
S. Won, N. Morris, Q. Lu, and R. C. Elston · 2009
Cited alongside, same era.
Pathway analysis by adaptive combination of p‐values
K. Yu, Q. Li, A. W. Bergen, R. M. Pfeiffer, P. S. Rosenberg, N. Caporaso, P. Kraft, and N. Chatterjee · 2009
Cited alongside, same era.
The sequential rejection principle of familywise error control
J. J. Goeman and A. Solari · 2010
Cited alongside, same era.
Permutation Tests for Complex Data: Theory, Applications and Software
F. Pesarin and L. Salmaso · 2010
Cited alongside, same era.
Use of the gamma method for self-contained gene-set analysis of SNP data
J. M. Biernacka, G. D. Jenkins, L. Wang, A. M. Moyer, and B. L. Fridley · 2011
Cited alongside, same era.
Multiple testing for exploratory research
J. J. Goeman and A. Solari · 2011
Cited alongside, same era.
Later among the works it cites.
Permutation-based simultaneous confidence bounds for the false discovery proportion
J. Hemerik, A. Solari, and J. J. Goeman · 2019
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The human voice areas: spatial organisation and inter-individual variability in temporal and extra-temporal cortices, 2019
C. R. Pernet, P. Belin, P. McAleer, K. J. Gorgolewski, M. Valdes-Sosa, M. Latinus, I. Charest, P. E. G. Bestelmeyer, R. H. Watson, and D. Fleming · 2019
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Genome-wide analysis of noncoding regulatory mutations in cancer, 2019
The Cancer Genome Atlas network · 2019
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The harmonic mean p-value for combining dependent tests
D. J. Wilson · 2019
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Permutation-based true discovery proportions for fMRI cluster analysis
A. Andreella, J. Hemerik, W. Weeda, L. Finos, and J. J. Goeman · 2020
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Post hoc confidence bounds on false positives using reference families
G. Blanchard, P. Neuvial, and E. Roquain · 2020
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Simultaneous enrichment analysis of all possible gene-sets: unifying self-contained and competitive methods
M. Ebrahimpoor, P. Spitali, K. Hettne, R. Tsonaka, and J. J. Goeman · 2020
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Robust testing in generalized linear models by sign flipping score contributions
J. Hemerik, J. J. Goeman, and L. Finos · 2020
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Combining p-values via averaging
V. Vovk and R. Wang · 2020
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TFisher: a powerful truncation and weighting procedure for combining p-values
H. Zhang, T. Tong, J. Landers, and Z. Wu · 2020
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Only closed testing procedures are admissible for controlling false discovery proportions
J. J. Goeman, J. Hemerik, and A. Solari · 2021
Closest in time.
sumSome: permutation true discovery guarantee by sum-based tests , 2021
A. Vesely · 2021
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Valid double-dipping via permutation-based closed testing
A. Vesely, L. Finos, J. J. Goeman, and A. Andreella · 2021
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E-values: Calibration, combination and applications
V. Vovk and R. Wang · 2021
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Notip: Non-parametric true discovery proportion control for brain imaging
A. Blain, B. Thirion, and P. Neuvial · 2022
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Large-scale simultaneous inference under dependence
J. Tian, X. Chen, E. Katsevich, J. J. Goeman, and A. Ramdas · 2022
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