Bayesian Interim Monitoring
Bayesian Interim Monitoring is a statistical methodology within Bayesian clinical trial design that enables repeated evaluation of accumulating evidence during the trial to assess efficacy, futility, or safety, using posterior or predictive probabilities to inform stopping decisions while maintaining probabilistic coherence.
32
Publications
2.3K
Citations
96
Authors
61
Institutions
Publications per year
2017–2026
6
Variants
Bayesian Interim Analysis
Parents
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1–5 of 32
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61

University of Minnesota
Minneapolis, United States
4 h-index
5 publications
203 citations
National Cancer Institute
Bethesda, United States
3 h-index
5 publications
874 citations
MRC Biostatistics Unit
Cambridge, United Kingdom
3 h-index
3 publications
234 citations
Eli Lilly (United States)
Indianapolis, United States
3 h-index
5 publications
346 citations
The University of Texas Health Science Center at Houston
Houston, United States
2 h-index
3 publications
122 citations
The University of Texas MD Anderson Cancer Center
Houston, United States
2 h-index
5 publications
149 citations

Kyoto University
Kyoto, Japan
1 h-index
1 publications
12 citations
VA Connecticut Healthcare System
West Haven, United States
1 h-index
3 publications
48 citations
1–8 of 61
12 publications · 823 citations
10
h-index
JBS · 2 publications · 108 citations
2
h-index
2 publications · 60 citations
2
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1 publications · 27 citations
1
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1 publications · 28 citations
1
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1–5