Multi-treatment Effect Modeling
Multi-Treatment Effect Modeling is a causal inference framework that extends traditional treatment effect estimation by simultaneously modeling the effects of multiple, distinct interventions within a unified structural model to enable comparative assessment and joint inference.
35
Publications
1.5K
Citations
105
Authors
73
Institutions
Publications per year
2017–2026
16
Parents
35
Network meta‐analysis of multicomponent interventions
Gerta Rücker, Guido Schwarzer · Biometrical Journal · 2019 · 201 citations · Full text
Meta‐analysis of mixed treatment comparisons at multiple follow‐up times
G. Lu, A. E. Ades, Alex J. Sutton et al. · Statistics in Medicine · 2007 · 117 citations
1–5 of 35
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Institut d'Economie Scientifique Et de Gestion, France
1 publications · 48 citations
1
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1
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1
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1–5 of 105
73
Rutgers, The State University of New Jersey
New Brunswick, United States
2 h-index
5 publications
81 citations

University of Ioannina
Ioannina, Greece
2 h-index
4 publications
194 citations
Yale University
New Haven, United States
2 h-index
4 publications
354 citations
University of Copenhagen
Copenhagen, Denmark
1 h-index
3 publications
39 citations
Swiss Tropical and Public Health Institute
Allschwil, Switzerland
1 h-index
2 publications
36 citations
Public Health Scotland
Edinburgh, United Kingdom
1 h-index
1 publications
117 citations
University of Louisville Hospital
Louisville, United States
1 h-index
2 publications
28 citations
Universidade de São Paulo
São Paulo, Brazil
1 h-index
3 publications
66 citations
1–8 of 73
5 publications · 190 citations
5
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2 publications · 183 citations
2
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1 publications · 34 citations
1
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1 publications · 18 citations
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1 publications · 18 citations
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