Bayesian Binary Regression is a statistical modeling framework within binary response models that employs Bayesian inference to estimate the posterior distribution of regression coefficients, incorporating prior knowledge and uncertainty in predicting binary outcomes.
30
Publications
1.7K
Citations
98
Authors
60
Institutions
Publications per year
2017–2026
7
Parents
Publications
30
Combining Several Screening Tests: Optimality of the Risk Score
Martin McIntosh, Margaret S. Pepe · Biometrics · 2002 · 254 citations
Medicine, Biostatistics, Oncology +15
Modelling risk when binary outcomes are subject to error
Pat S. McInturff, Wesley O. Johnson, David Cowling et al. · Statistics in Medicine · 2004 · 109 citations
1–5 of 30
Authors
98
- DV
2
h-index
- SC
2
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- VR
2
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- JL
2
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- DF
2
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1–5 of 98
Institutions
60
Universidade de São Paulo
São Paulo, Brazil
2 h-index
4 publications
150 citations
Ghent University
Ghent, Belgium
2 h-index
4 publications
302 citations
Iowa State University
Ames, United States
2 h-index
2 publications
42 citations
Bowling Green State University
Bowling Green, United States
2 h-index
2 publications
145 citations
Washington University in St. Louis
St Louis, United States
2 h-index
2 publications
145 citations
University of Washington
Seattle, United States
1 h-index
1 publications
254 citations
Kitakyushu Museum of Natural History and Human History
Kitakyushu, Japan
1 h-index
1 publications
12 citations
University of Connecticut
Storrs, United States
1 h-index
1 publications
20 citations
1–8 of 60
Venues
- Computational Statistics & Data Analysis
CSDA · 3 publications · 65 citations
3
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- Communication in Statistics- Theory and Methods
2 publications · 73 citations
2
h-index
- Biometrika
2 publications · 145 citations
2
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- Journal of Statistical Planning and Inference
1 publications · 25 citations
1
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- International Journal of Cancer
1 publications · 14 citations
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1–5