Double Robust Estimation
Double Robust Estimation is a semiparametric estimation method that combines models for both the outcome and the treatment assignment mechanism such that the estimator remains consistent if either model is correctly specified, but not necessarily both.
97
Publications
7.3K
Citations
188
Authors
122
Institutions
Publications per year
2017–2026
43
Variants
Doubly Robust Estimation
Parents
97
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
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University of California, Berkeley, United States
13 publications · 774 citations
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University of California, Berkeley
Berkeley, United States
18 h-index
45 publications
2.8K citations
Harvard University
Cambridge, United States
11 h-index
18 publications
2.4K citations
London School of Hygiene & Tropical Medicine
London, United Kingdom
6 h-index
12 publications
426 citations

Harvard University Press
Cambridge, United States
5 h-index
5 publications
565 citations

McGill University
Montreal, Canada
5 h-index
12 publications
416 citations
Cancer Research And Biostatistics
Seattle, United States
5 h-index
9 publications
369 citations

Ghent University
Ghent, Belgium
4 h-index
5 publications
182 citations
North Carolina State University
Raleigh, United States
4 h-index
5 publications
1.3K citations
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7 publications · 891 citations
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7 publications · 170 citations
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6 publications · 837 citations
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6 publications · 872 citations
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Repository · 5 publications · 90 citations
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