Confounding Adjustment
Confounding Adjustment is a statistical methodology within propensity modeling that specifically corrects for non-causal associations arising from confounding variables by estimating and accounting for the conditional probability of treatment assignment given observed covariates.
2.6K
Publications
271.8K
Citations
10.7K
Authors
3.1K
Institutions
Publications per year
2017–2026
869
2.6K
1–5 of 2.6K
10.7K
24
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University of California, Los Angeles, United States
19 publications · 9.1K citations
18
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University of North Carolina at Chapel Hill, United States
19 publications · 2.9K citations
17
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1–5 of 10.7K
3.1K
Harvard University
Cambridge, United States
75 h-index
422 publications
78.3K citations

Brigham and Women's Hospital
Boston, United States
43 h-index
228 publications
29K citations

University of Toronto
Toronto, Canada
34 h-index
105 publications
24.5K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
30 h-index
115 publications
15.1K citations

McGill University
Montreal, Canada
29 h-index
92 publications
11.3K citations

Karolinska Institutet
Stockholm, Sweden
29 h-index
105 publications
9.9K citations
University of Washington
Seattle, United States
29 h-index
94 publications
11.4K citations
University of Michigan
Ann Arbor, United States
28 h-index
86 publications
4.5K citations
1–8 of 3.1K
AJE · 91 publications · 20.7K citations
56
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78 publications · 15.6K citations
40
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48 publications · 14.2K citations
32
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Repository · 85 publications · 3.6K citations
31
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49 publications · 2.8K citations
27
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