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

Authors

105

  1. LH
    Liangyuan Hu

    Icahn School of Medicine at Mount Sinai, United States

    2 publications · 31 citations

    2

    h-index

  2. AC
    Arthur Cohen

    University of Georgia, United States

    1 publications · 18 citations

    1

    h-index

  3. KC
    Kristof Coussement

    Institut d'Economie Scientifique Et de Gestion, France

    1 publications · 48 citations

    1

    h-index

  4. BM
    Branko Miladinović

    University of South Florida, United States

    1 publications · 35 citations

    1

    h-index

  5. PC
    Prithviraj Chavan

    Indian Institute of Technology Roorkee, India

    1 publications · 17 citations

    1

    h-index

1–5 of 105

Venues

  1. Statistics in Medicine

    5 publications · 190 citations

    5

    h-index

  2. BMC Medical Research Methodology

    2 publications · 183 citations

    2

    h-index

  3. The Review of Economics and Statistics

    1 publications · 34 citations

    1

    h-index

  4. Journal of Clinical Epidemiology

    1 publications · 18 citations

    1

    h-index

  5. Journal of Statistical Planning and Inference

    1 publications · 18 citations

    1

    h-index

1–5