Iterated Conditional Expectation

Iterated Conditional Expectation is a statistical framework in the context of time-varying treatments that refers to the repeated application of conditional expectation operations over sequential time points to consistently estimate causal effects in longitudinal settings by leveraging the law of iterated expectations.

16

Publications

597

Citations

46

Authors

36

Institutions

Publications per year

2017–2026

2

Authors

46

  1. DL
    D. L. Burkholder

    University of Illinois Urbana-Champaign, United States

    2 publications · 69 citations

    2

    h-index

  2. MV
    Mark van der Laan

    University of California, Berkeley, United States

    2 publications · 214 citations

    2

    h-index

  3. AS
    Alan S. Go

    Kaiser Permanente, United States

    1 publications · 11 citations

    1

    h-index

  4. NP
    Niki Pfeifer

    Munich School of Philosophy, Germany

    1 publications · 35 citations

    1

    h-index

  5. YS
    Y. S. Chow

    1 publications · 15 citations

    1

    h-index

1–5 of 46

Venues

  1. Proceedings of the American Mathematical Society

    PROC · 2 publications · 69 citations

    2

    h-index

  2. Journal of Causal Inference

    2 publications · 182 citations

    2

    h-index

  3. Games and Economic Behavior

    1 publications · 83 citations

    1

    h-index

  4. 1

    h-index

  5. Journal of Statistical Planning and Inference

    1 publications · 34 citations

    1

    h-index

1–5