Mahalanobis Matching is a statistical matching method that belongs to the class of distance-based propensity score adjustment techniques, distinguished by its use of the Mahalanobis distance metric to balance covariates between treated and control units in observational studies.
147
Publications
9.6K
Citations
555
Authors
321
Institutions
Publications per year
2017–2026
69
Parents
Publications
147
1–5 of 147
Authors
555
- DB
4
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3
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3
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3
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1–5 of 555
Institutions
321
Harvard University
Cambridge, United States
4 h-index
8 publications
1.1K citations
University of Trieste
Trieste, Italy
3 h-index
9 publications
105 citations
University of California, Berkeley
Berkeley, United States
3 h-index
4 publications
1.2K citations
Tsinghua University
Beijing, China
3 h-index
9 publications
479 citations
University of Pennsylvania
Philadelphia, United States
3 h-index
8 publications
384 citations
Rush University Medical Center
Chicago, United States
2 h-index
14 publications
198 citations
Australian National University
Canberra, Australia
2 h-index
6 publications
223 citations
University of California, San Francisco
San Francisco, United States
2 h-index
6 publications
222 citations
1–8 of 321
Venues
- Sustainability
3 publications · 85 citations
3
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- Journal of the American Statistical Association
3 publications · 593 citations
3
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- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Conference · 2 publications · 48 citations
2
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- Review of Public Personnel Administration
ROPPA · 2 publications · 59 citations
2
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- Sensors
2 publications · 56 citations
2
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