Propensity Score Machine Learning
Propensity Score Machine Learning is a machine learning framework that estimates the conditional probability of treatment assignment given observed covariates to enable causal inference by balancing confounding variables in observational studies.
45
Publications
3.7K
Citations
202
Authors
115
Institutions
Publications per year
2017–2026
33
Parents
45
Daniel Westreich, Justin Lessler, Michele Jönsson Funk · Journal of Clinical Epidemiology · 2010 · 500 citations · Full text
Jason K. Luellen, William R. Shadish, M. H. Clark · Evaluation Review · 2005 · 339 citations
1–5 of 45
202
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The University of Texas MD Anderson Cancer Center, United States
3 publications · 64 citations
3
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2
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1–5 of 202
115
Harvard University
Cambridge, United States
6 h-index
17 publications
1.9K citations
University of Michigan
Ann Arbor, United States
4 h-index
4 publications
109 citations
Linden Photonics (United States)
Westford, United States
4 h-index
4 publications
97 citations
Optimal Solutions (United States)
Bridgewater, United States
4 h-index
4 publications
97 citations
The University of Texas MD Anderson Cancer Center
Houston, United States
3 h-index
11 publications
232 citations

Johns Hopkins University
Baltimore, United States
3 h-index
4 publications
2.4K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
2 h-index
3 publications
1K citations
Michigan Medicine
Ann Arbor, United States
2 h-index
2 publications
53 citations
1–8 of 115
4 publications · 97 citations
4
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3 publications · 1K citations
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Repository · 3 publications · 132 citations
3
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2 publications · 36 citations
2
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2 publications · 81 citations
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