Efficacy Boundaries
Efficacy Boundaries is a statistical decision rule in sequential testing that defines the threshold criteria for rejecting the null hypothesis at interim analyses, distinguishing it from futility or safety boundaries by focusing specifically on detecting a predefined clinically meaningful treatment effect.
6
Publications
927
Citations
52
Authors
39
Institutions
Publications per year
2017–2026
4
Variants
Efficacy Stopping Boundaries
Parents
6
Charles M. Rudin, Mark M. Awad, Alejandro Navarro et al. · Journal of Clinical Oncology · 2020 · 759 citations · Full text
Medicine, Oncology, Pharmacotherapy +14
Design and Monitoring of Multi-Arm Multi-Stage Clinical Trials
Pranab Ghosh, Lingyun Liu, Pralay Senchaudhuri et al. · Biometrics · 2017 · 53 citations · Full text
1–5 of 6
52
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Merck & Co., Inc., Rahway, NJ, USA (United States), United States
1 publications · 759 citations
1
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1
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1
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1–5 of 52
39
Cytel (United States)
Cambridge, United States
2 h-index
6 publications
240 citations
Harvard University
Cambridge, United States
2 h-index
2 publications
67 citations

University of Toronto
Toronto, Canada
1 h-index
1 publications
759 citations
Peking University Cancer Hospital
Beijing, China
1 h-index
1 publications
65 citations
The University of Osaka
Osaka, Japan
1 h-index
2 publications
38 citations
Dana-Farber Cancer Institute
Boston, United States
1 h-index
1 publications
759 citations
University of Michigan
Ann Arbor, United States
1 h-index
1 publications
759 citations
Centre Hospitalier Universitaire de Toulouse
Toulouse, France
1 h-index
1 publications
759 citations
1–8 of 39
1 publications · 65 citations
1
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1 publications · 53 citations
1
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1 publications · 19 citations
1
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1 publications · 14 citations
1
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1 publications · 759 citations
1
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1–5