Fast approximation of small p†values in permutation tests by partitioning the permutations

Brian D. Segal, Thomas Braun, Michael R. Elliott and Hui Jiang

Biometrics, 2018, vol. 74, issue 1, 196-206

Abstract: Researchers in genetics and other life sciences commonly use permutation tests to evaluate differences between groups. Permutation tests have desirable properties, including exactness if data are exchangeable, and are applicable even when the distribution of the test statistic is analytically intractable. However, permutation tests can be computationally intensive. We propose both an asymptotic approximation and a resampling algorithm for quickly estimating small permutation p†values (e.g.,

Date: 2018
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