Generalized Causal Inference

Generalized Causal Inference is a formal framework within the potential outcomes paradigm that extends causal inference beyond point treatments and static populations by unifying assumptions and estimands across complex interventions, longitudinal settings, and interdependent units through a standardized set of counterfactual contrasts.

56

Publications

4.7K

Citations

131

Authors

85

Institutions

Publications per year

2017–2026

20

Authors

131

  1. AR
    Adrienne Raglin

    DEVCOM Army Research Laboratory, United States

    2 publications · 141 citations

    2

    h-index

  2. AB
    Anchit Bhattacharya

    DEVCOM Army Research Laboratory, United States

    2 publications · 141 citations

    2

    h-index

  3. AT
    Anique Tahir

    Arizona State University, United States

    2 publications · 141 citations

    2

    h-index

  4. MC
    Madhabi Chatterji

    Columbia University, United States

    2 publications · 254 citations

    2

    h-index

  5. PS
    Paras Sheth

    Arizona State University, United States

    2 publications · 141 citations

    2

    h-index

1–5 of 131

Venues

  1. The American Statistician

    3 publications · 639 citations

    3

    h-index

  2. American Journal of Epidemiology

    AJE · 3 publications · 403 citations

    3

    h-index

  3. Educational Researcher

    ER · 2 publications · 254 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 38 citations

    2

    h-index

  5. Advanced Engineering Informatics

    1 publications · 22 citations

    1

    h-index

1–5