Matching Methods
Matching Methods is a statistical technique in causal inference that belongs to the class of adjustment methods for observational data, distinguished by its strategy of creating comparable treatment and control groups through pairing or grouping units based on similarity in observed covariates.
2.3K
Publications
323.8K
Citations
4.7K
Authors
1.7K
Institutions
Publications per year
2017–2026
498
2.3K
1–5 of 2.3K
4.7K
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Harvard University
Cambridge, United States
49 h-index
178 publications
46.5K citations
University of Pennsylvania
Philadelphia, United States
44 h-index
165 publications
24.3K citations
University of California, Berkeley
Berkeley, United States
33 h-index
75 publications
10.6K citations

University of Toronto
Toronto, Canada
31 h-index
73 publications
36.8K citations

Johns Hopkins University
Baltimore, United States
31 h-index
88 publications
16.5K citations
Stanford University
Stanford, United States
28 h-index
63 publications
14.7K citations
University of Chicago
Chicago, United States
28 h-index
45 publications
50.6K citations

Harvard University Press
Cambridge, United States
27 h-index
44 publications
22.7K citations
1–8 of 1.7K
78 publications · 24.6K citations
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64 publications · 8.3K citations
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56 publications · 18K citations
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Repository · 91 publications · 5.7K citations
33
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AJE · 44 publications · 5.8K citations
29
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