Treatment Effect Identification

Treatment Effect Identification is a methodological framework within causal inference that distinguishes itself by enabling the estimation of causal effects from observed data through the establishment of conditions under which potential outcomes can be reliably inferred.

443

Publications

45.3K

Citations

1.4K

Authors

653

Institutions

Publications per year

2017–2026

162

Authors

1.4K

  1. GW
    Guido W. Imbens

    Stanford University, United States

    13 publications · 3.6K citations

    12

    h-index

  2. SA
    Susan Athey

    Stanford University, United States

    9 publications · 3.1K citations

    9

    h-index

  3. JJ
    James J. Heckman

    University of Chicago, United States

    9 publications · 2K citations

    9

    h-index

  4. MJ
    Mark J. van der Laan

    University of California, Berkeley, United States

    8 publications · 875 citations

    8

    h-index

  5. MA
    Miguel A. Hernán

    Harvard University, United States

    7 publications · 841 citations

    7

    h-index

1–5 of 1.4K

Venues

  1. Statistics in Medicine

    20 publications · 4K citations

    17

    h-index

  2. Journal of the American Statistical Association

    14 publications · 1.9K citations

    14

    h-index

  3. SSRN Electronic Journal

    Repository · 18 publications · 1K citations

    14

    h-index

  4. Biometrics

    15 publications · 1K citations

    13

    h-index

  5. Journal of Econometrics

    14 publications · 2.9K citations

    12

    h-index

1–5