Direct Effects Under Interference

Direct Effects Under Interference is a causal inference framework that specifies the estimation of treatment effects on individuals when interference occurs, but only through pathways not mediated by others’ treatment assignments, thereby isolating the component of effect attributable directly to an individual’s own treatment.

1

Publications

13

Citations

4

Authors

0

Institutions

Publications per year

2017–2026

1

Authors

4

  1. AW
    Albert W. Wu

    Johns Hopkins University, United States

    1 publications · 13 citations

    1

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  2. LF
    Laura Forastiere

    Yale University, United States

    1 publications · 13 citations

    1

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  3. EM
    Edoardo M. Airoldi

    Harvard University, United States

    1 publications · 13 citations

    1

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  4. FM
    Fabrizia Mealli

    University of Florence, Italy

    1 publications · 13 citations

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1–4 of 4

Venues

  1. arXiv (Cornell University)

    Repository · 1 publications · 13 citations

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    h-index

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