Predictive Probability Design
Predictive Probability Design is a Bayesian sample size determination method that uses the predictive probability of observing a conclusive outcome given current trial data and assumed future data distributions to guide design decisions.
8
Publications
424
Citations
24
Authors
15
Institutions
Publications per year
2017–2026
2
8
A predictive probability design for phase II cancer clinical trials
Diane D. Liu · Clinical Trials · 2008 · 182 citations
Medicine, Biostatistics, Oncology +17
Update on planning of phase II clinical trials.
Gehan Ea · PubMed · 1986 · 13 citations
Medicine, Biostatistics, Oncology +17
1–5 of 8
24
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1
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1
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The University of Texas MD Anderson Cancer Center, United States
1 publications · 13 citations
1
h-index
1–5 of 24
15
The University of Texas MD Anderson Cancer Center
Houston, United States
4 h-index
6 publications
439 citations
Laboratoire de Mathématiques Raphaël Salem
Saint-Étienne-du-Rouvray, France
1 h-index
1 publications
28 citations
Anderson Hospital
Cincinnati, United States
1 h-index
3 publications
33 citations

Berry College
Rome, United States
1 h-index
1 publications
42 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
1 publications
28 citations
Environmental Protection Agency
Washington, United States
1 h-index
4 publications
500 citations

Université de Rouen Normandie
Rouen, France
1 h-index
2 publications
56 citations
Harbor–UCLA Medical Center
Torrance, United States
1 h-index
1 publications
42 citations
1–8 of 15
2 publications · 224 citations
2
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1 publications · 125 citations
1
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1 publications · 28 citations
1
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SIB · 1 publications · 10 citations
1
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1 publications · 11 citations
1
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1–5