Exposure-outcome Modeling
Exposure-Outcome Modeling is a statistical and computational framework that characterizes the quantitative relationship between the level or duration of exposure to an agent and the magnitude or probability of a specific biological or health outcome, distinguishing it from general risk assessment methods by focusing on dose-dependent response patterns and causal inference.
401
Publications
35K
Citations
1.3K
Authors
614
Institutions
Publications per year
2017–2026
91
Variants
Exposure-response Relationship Modeling
401
Variable Selection for Propensity Score Models
M. Alan Brookhart, Sebastian Schneeweiß, Kenneth J. Rothman et al. · American Journal of Epidemiology · 2006 · 2.3K citations · Full text
Tyler J. VanderWeele, Mirjam J. Knol · Epidemiologic Methods · 2014 · 1K citations
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University of North Carolina at Chapel Hill, United States
7 publications · 364 citations
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614
Harvard University
Cambridge, United States
29 h-index
98 publications
24.1K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
17 h-index
33 publications
2K citations

University of Bristol
Bristol, United Kingdom
12 h-index
48 publications
7.1K citations
Boston University
Boston, United States
12 h-index
26 publications
2.7K citations
University of Washington
Seattle, United States
11 h-index
15 publications
1K citations

Karolinska Institutet
Stockholm, Sweden
10 h-index
27 publications
1.2K citations
Cancer Research And Biostatistics
Seattle, United States
10 h-index
14 publications
823 citations
Environmental Protection Agency
Washington, United States
10 h-index
17 publications
847 citations
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AJE · 36 publications · 6.9K citations
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29 publications · 2.6K citations
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40 publications · 1.7K citations
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26 publications · 1.9K citations
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13 publications · 3.5K citations
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