Outcome Regression is a statistical modeling approach that belongs to the class of covariate adjustment methods, distinguished by its focus on directly regressing the outcome variable on covariates to estimate treatment effects while accounting for confounding.
67
Publications
7.5K
Citations
164
Authors
117
Institutions
Publications per year
2017–2026
36
Parents
Publications
67
Doubly Robust Estimation of Causal Effects
Michele Jönsson Funk, Daniel Westreich, Chris Wiesen et al. · American Journal of Epidemiology · 2011 · 1.1K citations · Full text
Entropy Balancing is Doubly Robust
Qingyuan Zhao, Daniel Percival · Journal of Causal Inference · 2016 · 385 citations · Full text
1–5 of 67
Authors
164
- LL
5
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- JM
4
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- ID
4
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- WM
4
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- SV
4
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1–5 of 164
Institutions
117
Harvard University
Cambridge, United States
7 h-index
16 publications
1.1K citations
University of California, Berkeley
Berkeley, United States
4 h-index
5 publications
462 citations
University of Minnesota
Minneapolis, United States
4 h-index
4 publications
86 citations
London School of Hygiene & Tropical Medicine
London, United Kingdom
4 h-index
10 publications
652 citations
Johns Hopkins University
Baltimore, United States
3 h-index
3 publications
161 citations
Vanderbilt University
Nashville, United States
3 h-index
4 publications
3.4K citations
University of Michigan
Ann Arbor, United States
3 h-index
3 publications
73 citations
Ghent University
Ghent, Belgium
3 h-index
6 publications
322 citations
1–8 of 117
Venues
- Biometrics
8 publications · 234 citations
8
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- Statistics in Medicine
4 publications · 406 citations
4
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- Journal of the American Statistical Association
3 publications · 153 citations
3
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- arXiv (Cornell University)
Repository · 3 publications · 45 citations
3
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- American Journal of Epidemiology
AJE · 3 publications · 1.3K citations
3
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1–5