Stopping Boundaries
Stopping Boundaries is a sequential analysis framework that specifies predetermined decision rules for terminating an experiment based on cumulative evidence, distinguishing it from ad hoc or fixed-sample designs by enabling early stopping while controlling error rates.
94
Publications
2.9K
Citations
185
Authors
132
Institutions
Publications per year
2017–2026
16
Parents
94
1–5 of 94
185
4
h-index
3
h-index
3
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The University of Texas MD Anderson Cancer Center, United States
2 publications · 118 citations
2
h-index
2
h-index
1–5 of 185
132
Harvard University
Cambridge, United States
5 h-index
5 publications
131 citations

University of Minnesota
Minneapolis, United States
4 h-index
5 publications
193 citations
University of Washington
Seattle, United States
3 h-index
4 publications
123 citations

University of Rochester
Rochester, United States
3 h-index
4 publications
79 citations

University of Manchester
Manchester, United Kingdom
2 h-index
2 publications
25 citations
Cancer Research And Biostatistics
Seattle, United States
2 h-index
2 publications
77 citations
University of Oxford
Oxford, United Kingdom
2 h-index
3 publications
36 citations
Medical University of Vienna
Vienna, Austria
2 h-index
3 publications
98 citations
1–8 of 132
7 publications · 311 citations
7
h-index
7 publications · 190 citations
7
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3 publications · 129 citations
3
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3 publications · 64 citations
3
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3 publications · 85 citations
3
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