Power Curves
Power Curves is a graphical representation in statistical hypothesis testing that depicts the relationship between statistical power and effect size for a given sample size and significance level, serving as a tool in sample size planning to evaluate the sensitivity of a study design.
747
Publications
339.7K
Citations
1.6K
Authors
780
Institutions
Publications per year
2017–2026
147
747
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
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University of North Carolina at Chapel Hill, United States
6 publications · 100.5K citations
6
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780
University of California, Los Angeles
Los Angeles, United States
8 h-index
13 publications
1.7K citations
University of Iowa
Iowa City, United States
7 h-index
13 publications
2.3K citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
7 h-index
7 publications
245 citations
Columbia University
New York, United States
7 h-index
10 publications
1.9K citations
University of Pittsburgh
Pittsburgh, United States
7 h-index
11 publications
936 citations

University of Strathclyde
Glasgow, United Kingdom
6 h-index
16 publications
950 citations
University of Wisconsin–Madison
Madison, United States
6 h-index
10 publications
394 citations
University of Pennsylvania
Philadelphia, United States
6 h-index
11 publications
3.6K citations
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20 publications · 39.8K citations
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18 publications · 2.5K citations
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16 publications · 898 citations
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12 publications · 430 citations
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13 publications · 809 citations
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