Permutation-based Exact Inference
Permutation-Based Exact Inference is a statistical inference method that belongs to the class of exact inference techniques for categorical data, distinguished by its reliance on permutation principles to compute exact p-values and confidence intervals without invoking asymptotic approximations.
20
Publications
2.6K
Citations
37
Authors
24
Institutions
Publications per year
2017–2026
3
20
Permutation Methods: A Basis for Exact Inference
Michael D. Ernst · Statistical Science · 2004 · 800 citations · Full text
Exact logistic regression: Theory and examples
Cyrus R. Mehta, Nitin R. Patel · Statistics in Medicine · 1995 · 480 citations
Allan Dafoe, Devin Caughey · World Politics · 2016 · 96 citations
Social Sciences, International Relations, Political Science +14
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Harvard University
Cambridge, United States
3 h-index
7 publications
1.2K citations
Cytel (United States)
Cambridge, United States
3 h-index
3 publications
563 citations
Colorado State University
Fort Collins, United States
2 h-index
5 publications
82 citations
Cancer Research And Biostatistics
Seattle, United States
1 h-index
2 publications
28 citations

Kennedy Krieger Institute
Baltimore, United States
1 h-index
3 publications
48 citations

La Trobe University
Melbourne, Australia
1 h-index
1 publications
41 citations
The University of Texas at Dallas
Richardson, United States
1 h-index
1 publications
20 citations
University of Pennsylvania
Philadelphia, United States
1 h-index
1 publications
482 citations
1–8 of 24
3 publications · 1.3K citations
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3 publications · 347 citations
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1 publications · 10 citations
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1 publications · 13 citations
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1 publications · 96 citations
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