Bayesian Binomial Regression
Bayesian Binomial Regression is a statistical modeling framework within the class of Bayesian generalized linear models that specifies a binomial likelihood for the response variable and incorporates prior distributions on model parameters to infer posterior distributions under a Bayesian paradigm.
18
Publications
842
Citations
85
Authors
67
Institutions
Publications per year
2017–2026
11
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Network meta‐analysis of rare events using the Mantel‐Haenszel method
Orestis Efthimiou, Gerta Rücker, Guido Schwarzer et al. · Statistics in Medicine · 2019 · 117 citations · Full text
Binomial Regression with Misclassification
Carlos Daniel Paulino, Paulo Fernando Soares, John Neuhaus · Biometrics · 2003 · 108 citations
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67
Clemson University
Clemson, United States
3 h-index
7 publications
273 citations

University of Georgia
Athens, United States
3 h-index
6 publications
224 citations
University of South Carolina
Columbia, United States
2 h-index
2 publications
63 citations
North Carolina State University
Raleigh, United States
2 h-index
2 publications
63 citations

University of Bristol
Bristol, United Kingdom
2 h-index
2 publications
144 citations
University of California, Davis
Davis, United States
2 h-index
2 publications
110 citations

Rice University
Houston, United States
1 h-index
4 publications
64 citations
University of Ghana
Accra, Ghana
1 h-index
1 publications
27 citations
1–8 of 67
2 publications · 91 citations
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2 publications · 61 citations
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2 publications · 125 citations
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JESEE · 1 publications · 16 citations
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1 publications · 117 citations
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