Permutation-based Inference
Permutation-Based Inference is a statistical inference method that assesses the significance of observed effects by comparing the empirical test statistic to its distribution under all possible rearrangements of the data labels, assuming exchangeability under the null hypothesis.
189
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21.7K
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447
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254
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2017–2026
60
Parents
189
Permutation inference for the general linear model
Anderson M. Winkler, Gerard R. Ridgway, Matthew Webster et al. · NeuroImage · 2014 · 3.8K citations · Full text
Permutation Tests for Multiple Loci Affecting a Quantitative Character
R. W. Doerge, Gary A. Churchill · Genetics · 1996 · 1.2K citations · Full text
A Lego System for Conditional Inference
Torsten Hothorn, Kurt Hornik, Mark A. van de Wiel et al. · The American Statistician · 2006 · 915 citations
Permutation Methods: A Basis for Exact Inference
Michael D. Ernst · Statistical Science · 2004 · 800 citations · Full text
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University of Padua
Padua, Italy
12 h-index
18 publications
424 citations
Harvard University
Cambridge, United States
8 h-index
13 publications
1.1K citations
University of Oxford
Oxford, United Kingdom
7 h-index
21 publications
20.1K citations
University of Pennsylvania
Philadelphia, United States
7 h-index
8 publications
972 citations
University of Ferrara
Ferrara, Italy
5 h-index
8 publications
178 citations
Colorado State University
Fort Collins, United States
5 h-index
12 publications
809 citations
Stanford University
Stanford, United States
5 h-index
5 publications
225 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
4 h-index
7 publications
527 citations
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7 publications · 820 citations
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7 publications · 421 citations
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Repository · 6 publications · 131 citations
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6 publications · 4.5K citations
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6 publications · 221 citations
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