Exposure Mixture Modeling
Exposure Mixture Modeling is a statistical modeling framework that characterizes the joint effects of multiple concurrent exposures on health outcomes by integrating dose-response relationships within a mixture context.
68
Publications
7K
Citations
320
Authors
189
Institutions
Publications per year
2017–2026
40
68
Attributing Effects to Interactions
Tyler J. VanderWeele, Eric J. Tchetgen Tchetgen · Epidemiology · 2014 · 108 citations · Full text
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Icahn School of Medicine at Mount Sinai, United States
4 publications · 1.9K citations
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4
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4
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Kaiser Permanente Washington Health Research Institute, United States
4 publications · 2.9K citations
4
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4
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1–5 of 320
189
Harvard University
Cambridge, United States
10 h-index
20 publications
7.2K citations
Emory University
Atlanta, United States
6 h-index
21 publications
894 citations

Johns Hopkins University
Baltimore, United States
5 h-index
6 publications
1.7K citations
Environmental Protection Agency
Washington, United States
5 h-index
12 publications
590 citations

Icahn School of Medicine at Mount Sinai
New York, United States
5 h-index
16 publications
789 citations
National Institute for Public Health and the Environment
De Bilt, The Netherlands
4 h-index
9 publications
311 citations
Utrecht University
Utrecht, The Netherlands
4 h-index
10 publications
340 citations

Nanjing Medical University
Nanjing, China
3 h-index
11 publications
352 citations
1–8 of 189
6 publications · 1.3K citations
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6 publications · 335 citations
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EHP · 3 publications · 1.7K citations
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3 publications · 104 citations
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2 publications · 97 citations
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