Simulation-based Power Analysis
Simulation-Based Power Analysis is a computational methodology within the field of statistical genetics that uses simulated data sets to evaluate the ability of a mixed-stock analysis model to correctly assign individuals to their source populations, thereby distinguishing it from analytical power assessment techniques by its reliance on iterative stochastic modeling.
167
Publications
248.4K
Citations
472
Authors
277
Institutions
Publications per year
2017–2026
58
Parents
167
Statistical Power Analysis for the Behavioral Sciences
Keith E. Muller, Jacob Cohen · Technometrics · 1989 · 83.9K citations
Statistical Power Analysis for the Behavioral Sciences
Keith E. Muller · Technometrics · 1989 · 16.5K citations
1–5 of 167
472
University of North Carolina at Chapel Hill, United States
5 publications · 100.4K citations
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4
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4
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3
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3
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1–5 of 472
277
University of North Carolina at Chapel Hill
Chapel Hill, United States
7 h-index
17 publications
903 citations
KU Leuven
Leuven, Belgium
5 h-index
15 publications
846 citations
University of Oxford
Oxford, United Kingdom
5 h-index
6 publications
1.4K citations
Princeton University
Princeton, United States
5 h-index
12 publications
381 citations
Columbia University
New York, United States
5 h-index
5 publications
497 citations
University of California, Berkeley
Berkeley, United States
4 h-index
4 publications
80 citations
University of Florida Health
Gainesville, United States
4 h-index
4 publications
65 citations

Université Laval
Québec, Canada
4 h-index
12 publications
345 citations
1–8 of 277
6 publications · 221 citations
5
h-index
4 publications · 179 citations
4
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4 publications · 2.4K citations
4
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4 publications · 234 citations
4
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BRM · 4 publications · 64.9K citations
4
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1–5