Bayesian Exposure-response Modeling
Bayesian Exposure-Response Modeling is a statistical modeling framework that belongs to the class of exposure-response modeling approaches and is distinguished by its incorporation of prior knowledge and probabilistic inference through Bayesian methods to quantify the relationship between exposure levels and health outcomes.
50
Publications
3.8K
Citations
222
Authors
118
Institutions
Publications per year
2017–2026
12
50
Probabilistic Techniques in Exposure Assessment
Alison C. Cullen, H. Christopher Frey · 2016 · 194 citations
Pharmacy, Biostatistics, Toxicology +14
Bayesian Methods for Highly Correlated Exposure Data
Richard F. MacLehose, David B. Dunson, Amy H. Herring et al. · Epidemiology · 2007 · 131 citations
1–5 of 50
222
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Icahn School of Medicine at Mount Sinai, United States
2 publications · 1.8K citations
2
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2
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2
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1–5 of 222
118

University of Minnesota
Minneapolis, United States
5 h-index
7 publications
389 citations

Imperial College London
London, United Kingdom
4 h-index
6 publications
195 citations
Utrecht University
Utrecht, The Netherlands
3 h-index
3 publications
93 citations
Environmental Protection Agency
Washington, United States
3 h-index
5 publications
216 citations
Unilever (United Kingdom)
London, United Kingdom
2 h-index
15 publications
360 citations
West Virginia University
Morgantown, United States
2 h-index
2 publications
79 citations
National Cancer Institute
Bethesda, United States
2 h-index
2 publications
46 citations

Centre international de recherche sur le cancer
Lyon, France
2 h-index
3 publications
74 citations
1–8 of 118
4 publications · 131 citations
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2 publications · 31 citations
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RTP · 2 publications · 36 citations
2
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2 publications · 37 citations
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2 publications · 32 citations
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