Bayesian Benchmark Dose Analysis
Bayesian Benchmark Dose Analysis is a statistical methodology within dose-response assessment that employs Bayesian inference to estimate the minimum dose of a substance associated with a specified adverse effect level, incorporating prior knowledge and quantifying uncertainty in model parameters through posterior distributions.
29
Publications
1.4K
Citations
119
Authors
55
Institutions
Publications per year
2017–2026
14
Parents
29
Guidance on the use of the benchmark dose approach in risk assessment
Simon J. More, Vasileios Bampidis, Diane Benford et al. · EFSA Journal · 2022 · 210 citations · Full text
Anemia risk in relation to lead exposure in lead-related manufacturing
Nan‐Hung Hsieh, Shun-Hui Chung, Szu‐Chieh Chen et al. · BMC Public Health · 2017 · 88 citations · Full text
Pharmacy, Hematology, Toxicology +17
1–5 of 29
119
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National Institute for Occupational Safety and Health, United States
3 publications · 108 citations
3
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2
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2
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2
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1–5 of 119
55
Environmental Protection Agency
Washington, United States
6 h-index
13 publications
321 citations
Indiana University Bloomington
Bloomington, United States
5 h-index
8 publications
448 citations
National Center for Environmental Assessment (EPA)
Cincinnati, United States
4 h-index
8 publications
254 citations
University of Arizona
Tucson, United States
2 h-index
4 publications
76 citations
National Institute of Environmental Health Sciences
Durham, United States
2 h-index
2 publications
162 citations
Miami University
Oxford, United States
2 h-index
2 publications
92 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
3 publications
89 citations
Kaohsiung Medical University
Kaohsiung City, Taiwan
1 h-index
1 publications
88 citations
1–8 of 55
8 publications · 261 citations
8
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2 publications · 153 citations
2
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2 publications · 78 citations
2
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HERA · 2 publications · 42 citations
2
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1 publications · 36 citations
1
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1–5