Potential Outcome Estimation

Potential Outcome Estimation is a methodological framework within counterfactual analysis that specifies procedures for inferring the values of unobserved outcomes under alternative treatment conditions, distinguishing itself by formalizing how causal effects are identified and estimated through explicit modeling of counterfactual states.

51

Publications

3.6K

Citations

112

Authors

86

Institutions

Publications per year

2017–2026

27

Authors

112

  1. GW
    Guido W. Imbens

    Stanford University, United States

    3 publications · 304 citations

    3

    h-index

  2. ML
    Michael Lechner

    University of St.Gallen, Switzerland

    3 publications · 413 citations

    3

    h-index

  3. SM
    Sunil Mithas

    University of Maryland, College Park, United States

    2 publications · 142 citations

    2

    h-index

  4. LY
    Liuyi Yao

    University of Virginia, United States

    2 publications · 467 citations

    2

    h-index

  5. CF
    Charles F. Manski

    Northwestern University, United States

    2 publications · 302 citations

    2

    h-index

1–5 of 112

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 160 citations

    6

    h-index

  2. SSRN Electronic Journal

    Repository · 5 publications · 146 citations

    5

    h-index

  3. Biometrics

    3 publications · 95 citations

    4

    h-index

  4. Statistics in Biopharmaceutical Research

    SBR · 2 publications · 118 citations

    2

    h-index

  5. Statistics in Medicine

    2 publications · 164 citations

    2

    h-index

1–5