Bayesian Equivalence Design is a statistical framework within Bayesian adaptive design that uses posterior probability criteria to determine the equivalence of treatment effects by continuously updating evidence as data accumulate, distinguishing itself through its formal incorporation of equivalence margins and prior information in sequential decision-making.
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2017–2026
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- ST
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Munroe Regional Medical Center
Ocala, United States
1 h-index
5 publications
600 citations
Cancer Research And Biostatistics
Seattle, United States
1 h-index
5 publications
600 citations
Harvard University
Cambridge, United States
1 h-index
5 publications
600 citations
Jacobs (United States)
Dallas, United States
1 h-index
1 publications
120 citations
Northwestern University
Evanston, United States
1 h-index
5 publications
600 citations
Boston Medical Center
Boston, United States
1 h-index
5 publications
600 citations
The University of Texas MD Anderson Cancer Center
Houston, United States
1 publications
13 citations
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1 publications · 120 citations
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- BMC Medical Research Methodology
1 publications · 13 citations
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