Permutation-based Correction
Permutation-Based Correction is a statistical method for adjusting significance thresholds in multiple hypothesis testing by generating empirical null distributions through repeated random reassignments of observed data labels, thereby preserving the dependency structure among tests while controlling family-wise error or false discovery rates.
52
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11.9K
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144
Authors
110
Institutions
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2017–2026
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52
Permutation tests for joinpoint regression with applications to cancer rates
Hyune-Ju Kim, Michael P. Fay, Eric J. Feuer et al. · Statistics in Medicine · 2000 · 6.1K citations
Controlling the false discovery rate via knockoffs
The Annals of Statistics · 2015 · 551 citations · Full text
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University of Oxford
Oxford, United Kingdom
3 h-index
4 publications
176 citations
University of California, Los Angeles
Los Angeles, United States
3 h-index
7 publications
522 citations
Mental Illness Research, Education and Clinical Centers
Washington, United States
2 h-index
2 publications
70 citations

Carnegie Hall
New York, United States
2 h-index
2 publications
6.5K citations
Max Planck Institute of Animal Behavior
Radolfzell, Germany
2 h-index
2 publications
92 citations
University of Konstanz
Konstanz, Germany
2 h-index
2 publications
92 citations
University of Zurich
Zurich, Switzerland
2 h-index
2 publications
92 citations
Syracuse University
Syracuse, United States
2 h-index
2 publications
6.5K citations
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6 publications · 485 citations
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5 publications · 1.7K citations
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5 publications · 594 citations
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Repository · 3 publications · 42 citations
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3 publications · 160 citations
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