Bayesian Subgroup Analysis
Bayesian Subgroup Analysis is a statistical methodology that belongs to the class of Bayesian inference techniques, distinguished by its application of prior distributions and posterior updating to evaluate heterogeneous treatment effects across predefined subgroups within clinical trial data.
45
Publications
2.2K
Citations
146
Authors
109
Institutions
Publications per year
2017–2026
16
Parents
45
Three simple rules to ensure reasonably credible subgroup analyses
James Burke, Jeremy B. Sussman, David M. Kent et al. · BMJ · 2015 · 315 citations · Full text
Bayesian models for subgroup analysis in clinical trials
Hayley E. Jones, David Ohlssen, Beat Neuenschwander et al. · Clinical Trials · 2011 · 111 citations
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The University of Texas MD Anderson Cancer Center, United States
3 publications · 87 citations
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109

Johns Hopkins University
Baltimore, United States
4 h-index
12 publications
364 citations
The University of Texas MD Anderson Cancer Center
Houston, United States
3 h-index
3 publications
126 citations
University of Michigan
Ann Arbor, United States
2 h-index
4 publications
963 citations
Stanford University
Stanford, United States
2 h-index
8 publications
2.2K citations
Novartis (United States)
New York, United States
2 h-index
2 publications
140 citations
Novartis (Switzerland)
Basel, Switzerland
2 h-index
7 publications
449 citations
Stanford Medicine
Stanford, United States
2 h-index
8 publications
2.2K citations
Sidney Kimmel Comprehensive Cancer Center
Baltimore, United States
2 h-index
4 publications
191 citations
1–8 of 109
8 publications · 231 citations
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4 publications · 94 citations
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2 publications · 113 citations
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2 publications · 83 citations
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1 publications · 14 citations
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