Treatment Assignment Modeling
Treatment Assignment Modeling is a statistical framework that specifies the process by which individuals or units are allocated to treatment or control conditions based on observed covariates, distinguishing it from outcome modeling by focusing exclusively on the mechanism of treatment selection rather than post-treatment effects.
294
Publications
50.1K
Citations
1.1K
Authors
512
Institutions
Publications per year
2017–2026
91
Parents
294
1–5 of 294
1.1K
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512
Harvard University
Cambridge, United States
17 h-index
46 publications
4.8K citations
University of Michigan
Ann Arbor, United States
12 h-index
29 publications
7.6K citations
University of California, Berkeley
Berkeley, United States
12 h-index
26 publications
1.6K citations
University of Pennsylvania
Philadelphia, United States
11 h-index
19 publications
1.3K citations
University of California, Los Angeles
Los Angeles, United States
10 h-index
13 publications
1.8K citations
Columbia University
New York, United States
9 h-index
14 publications
1.5K citations

University of Toronto
Toronto, Canada
9 h-index
14 publications
15.7K citations
University of Washington
Seattle, United States
9 h-index
12 publications
755 citations
1–8 of 512
14 publications · 2K citations
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17 publications · 1.4K citations
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Repository · 14 publications · 499 citations
12
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13 publications · 7.1K citations
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7 publications · 200 citations
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