Conditional Power
Conditional Power is a statistical metric in sequential testing that quantifies the probability of rejecting the null hypothesis at a future stage given the current data and assumed parameter values, distinguishing it from other power measures by its dependence on interim results and conditioning on specific stopping rules or future outcomes.
114
Publications
7.8K
Citations
245
Authors
163
Institutions
Publications per year
2017–2026
18
Parents
114
Complex Organizations: A Critical Essay
Neil Fligstein, Charles Perrow · Teaching Sociology · 1990 · 2.2K citations
The B-Value: A Tool for Monitoring Data
K. K. Gordon Lan, Janet Wittes · Biometrics · 1988 · 305 citations
Assurance in clinical trial design
Anthony O’Hagan, John Stevens, Michael J. Campbell · Pharmaceutical Statistics · 2005 · 288 citations
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National Heart Lung and Blood Institute, United States
3 publications · 552 citations
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163
Harvard University
Cambridge, United States
6 h-index
9 publications
465 citations
Heidelberg University
Heidelberg, Germany
3 h-index
7 publications
129 citations
Zimmer Biomet (Netherlands)
Dordrecht, Netherlands
3 h-index
6 publications
119 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
3 h-index
3 publications
92 citations
University of Vienna
Vienna, Austria
3 h-index
7 publications
783 citations
National Cancer Institute
Bethesda, United States
3 h-index
6 publications
124 citations
National Heart Lung and Blood Institute
Bethesda, United States
3 h-index
5 publications
364 citations
Eli Lilly (United States)
Indianapolis, United States
3 h-index
7 publications
554 citations
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24 publications · 1.2K citations
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8 publications · 354 citations
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7 publications · 289 citations
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6 publications · 1K citations
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JBS · 6 publications · 158 citations
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