Treatment Interference

Treatment Interference is a causal inference phenomenon in which the treatment assigned to one unit affects the outcomes of other units, violating the standard assumption of non-interference in experimental design.

57

Publications

4.5K

Citations

140

Authors

91

Institutions

Publications per year

2017–2026

24

Variants

Spillover Effects

Authors

140

  1. MG
    Michael G. Hudgens

    University of North Carolina at Chapel Hill, United States

    5 publications · 1.1K citations

    5

    h-index

  2. SW
    Stefan Wager

    Stanford University, United States

    3 publications · 76 citations

    3

    h-index

  3. EM
    Edoardo M. Airoldi

    Harvard University, United States

    3 publications · 56 citations

    3

    h-index

  4. SL
    Shuangning Li

    Stanford University, United States

    3 publications · 76 citations

    3

    h-index

  5. PM
    Peter M. Aronow

    Yale University, United States

    3 publications · 101 citations

    3

    h-index

1–5 of 140

Venues

  1. Journal of the American Statistical Association

    7 publications · 1.6K citations

    7

    h-index

  2. arXiv (Cornell University)

    Repository · 5 publications · 95 citations

    5

    h-index

  3. Statistical Science

    3 publications · 64 citations

    3

    h-index

  4. SSRN Electronic Journal

    Repository · 3 publications · 49 citations

    3

    h-index

  5. The Annals of Statistics

    3 publications · 109 citations

    3

    h-index

1–5