Transportability With Missing Data

Transportability with Missing Data is a methodological framework within causal analysis that enables the generalization of causal effects across populations when data missingness compromises the comparability and validity of observed variables.

5

Publications

123

Citations

16

Authors

7

Institutions

Publications per year

2017–2026

3

Authors

16

  1. JP
    Judea Pearl

    University of California, Los Angeles, United States

    2 publications · 63 citations

    2

    h-index

  2. EB
    Elias Bareinboim

    Purdue University West Lafayette, United States

    2 publications · 63 citations

    2

    h-index

  3. BE
    Bonnie E. Shook‐Sa

    University of North Carolina at Chapel Hill, United States

    1 publications · 20 citations

    1

    h-index

  4. AS
    Ann Singleton

    Centre for Social Justice, United Kingdom

    1 publications · 15 citations

    1

    h-index

  5. JL
    Justin Lessler

    Johns Hopkins University, United States

    1 publications · 20 citations

    1

    h-index

1–5 of 16

Venues

  1. eScholarship (California Digital Library)

    Repository · 1 publications · 21 citations

    1

    h-index

  2. Statistics in Biosciences

    SIB · 1 publications · 25 citations

    1

    h-index

  3. Epidemiology

    1 publications · 20 citations

    1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 10 citations

  5. European Journal of Epidemiology

    1 publications · 13 citations

1–5