Ignorability Assumption

The "Ignorability Assumption" is a foundational causal assumption in the Potential Outcomes Framework that posits the treatment assignment is conditionally independent of the potential outcomes given observed covariates, ensuring unbiased estimation of causal effects.

113

Publications

8.6K

Citations

207

Authors

121

Institutions

Publications per year

2017–2026

42

Authors

207

  1. DF
    Daniel F. Heitjan

    University of Pennsylvania, United States

    7 publications · 1.1K citations

    7

    h-index

  2. PD
    Peng Ding

    University of California, Berkeley, United States

    5 publications · 246 citations

    5

    h-index

  3. JM
    Jeffrey M. Albert

    Case Western Reserve University, United States

    4 publications · 104 citations

    4

    h-index

  4. DS
    Dylan S. Small

    University of Pennsylvania, United States

    4 publications · 165 citations

    4

    h-index

  5. SG
    Sander Greenland

    University of California, Los Angeles, United States

    3 publications · 270 citations

    3

    h-index

1–5 of 207

Venues

  1. Statistics in Medicine

    11 publications · 475 citations

    10

    h-index

  2. 7

    h-index

  3. arXiv (Cornell University)

    Repository · 7 publications · 240 citations

    7

    h-index

  4. Biometrics

    6 publications · 365 citations

    6

    h-index

  5. Biometrika

    6 publications · 669 citations

    6

    h-index

1–5