Statistical Power Analysis
Statistical Power Analysis is a methodological procedure used in candidate gene studies to determine the probability that a statistical test will correctly reject a false null hypothesis, thereby distinguishing it from other analytical methods by its specific focus on detecting genetic effects with predefined sensitivity and minimizing Type II error rates.
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Statistical Power Analysis for the Behavioral Sciences
Keith E. Muller, Jacob Cohen · Technometrics · 1989 · 83.9K citations
Jacob Cohen · Psychological Bulletin · 1992 · 42.2K citations
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University of North Carolina at Chapel Hill, United States
12 publications · 101.1K citations
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Harvard University
Cambridge, United States
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416 publications
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University of North Carolina at Chapel Hill
Chapel Hill, United States
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183 publications
23.8K citations
University of Oxford
Oxford, United Kingdom
38 h-index
133 publications
23.1K citations
Stanford University
Stanford, United States
38 h-index
167 publications
23K citations
University of Washington
Seattle, United States
37 h-index
280 publications
19.5K citations
University of Pennsylvania
Philadelphia, United States
36 h-index
171 publications
17.5K citations

Johns Hopkins University
Baltimore, United States
34 h-index
167 publications
14.4K citations
University of Michigan
Ann Arbor, United States
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165 publications
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Repository · 102 publications · 16.8K citations
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