Empirical P-values
Empirical P-Values is a statistical metric that quantifies the significance of a test statistic by estimating the probability of observing a value as or more extreme than the one obtained under the null hypothesis, derived through simulation or resampling methods rather than theoretical distributional assumptions.
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13.1K
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295
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182
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2017–2026
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81
Joanna IntHout, John P. A. Ioannidis, George F. Borm · BMC Medical Research Methodology · 2014 · 2.1K citations · Full text
PRSice-2: Polygenic Risk Score software for biobank-scale data
Shing Wan Choi, Paul F. O’Reilly · GigaScience · 2019 · 1.7K citations · Full text
Generative modeling of brain maps with spatial autocorrelation
Joshua B. Burt, Markus Helmer, Maxwell Shinn et al. · NeuroImage · 2020 · 560 citations · Full text
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182
Stanford University
Stanford, United States
3 h-index
4 publications
2.9K citations

Tilburg University
Tilburg, The Netherlands
3 h-index
13 publications
541 citations
University of Pittsburgh
Pittsburgh, United States
3 h-index
10 publications
288 citations
Harvard University
Cambridge, United States
2 h-index
5 publications
354 citations
Utrecht University
Utrecht, The Netherlands
2 h-index
2 publications
92 citations

The University of Queensland
Brisbane, Australia
2 h-index
2 publications
482 citations
Yale University
New Haven, United States
2 h-index
10 publications
3K citations

University of Bristol
Bristol, United Kingdom
2 h-index
2 publications
23 citations
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3 publications · 46 citations
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3 publications · 84 citations
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2 publications · 223 citations
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Repository · 2 publications · 62 citations
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CJS · 2 publications · 48 citations
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