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

Authors

1.1K

  1. MJ
    Mark J. van der Laan

    University of California, Berkeley, United States

    7 publications · 455 citations

    7

    h-index

  2. RT
    Rocío Titiunik

    University of Michigan, United States

    6 publications · 1.6K citations

    6

    h-index

  3. PB
    Peter B. Gilbert

    Fred Hutch Cancer Center, United States

    4 publications · 164 citations

    4

    h-index

  4. MD
    Matias D. Cattaneo

    University of Michigan, United States

    4 publications · 1.1K citations

    4

    h-index

  5. PR
    Paul R. Rosenbaum

    University of Pennsylvania, United States

    4 publications · 676 citations

    4

    h-index

1–5 of 1.1K

Venues

  1. 14

    h-index

  2. Biometrics

    17 publications · 1.4K citations

    14

    h-index

  3. SSRN Electronic Journal

    Repository · 14 publications · 499 citations

    12

    h-index

  4. Statistics in Medicine

    13 publications · 7.1K citations

    12

    h-index

  5. Statistical Methods in Medical Research

    7 publications · 200 citations

    7

    h-index

1–5