Pair-Matching is a methodological procedure in experimental design whereby individual subjects or units are grouped into pairs based on shared covariate values, with the distinguishing feature that each pair receives different treatments to enable direct comparison while controlling for confounding variables.
154
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14.1K
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411
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197
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Publications per year
2017–2026
31
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154
1–5 of 154
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1–5 of 411
Institutions
197
University of Pennsylvania
Philadelphia, United States
12 h-index
21 publications
2.5K citations
Open University of Israel
Raanana, Israel
3 h-index
3 publications
2K citations
Philadelphia University
Philadelphia, United States
3 h-index
7 publications
907 citations
University of Electronic Science and Technology of China
Chengdu, China
3 h-index
7 publications
334 citations
Keio University
Tokyo, Japan
3 h-index
5 publications
418 citations
University of Surrey
Guildford, United Kingdom
3 h-index
6 publications
313 citations
University of Kentucky
Lexington, United States
3 h-index
3 publications
93 citations
Tel Aviv University
Tel Aviv, Israel
3 h-index
5 publications
3.7K citations
1–8 of 197
Venues
- Biometrics
7 publications · 654 citations
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- Statistics in Medicine
6 publications · 404 citations
6
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- Journal of the American Statistical Association
5 publications · 920 citations
5
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- Journal of the Experimental Analysis of Behavior
4 publications · 600 citations
4
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- Journal of Forensic Sciences
JOFS · 3 publications · 51 citations
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