Experimental Design Under Interference

Experimental Design Under Interference is a methodological framework in causal inference that specifies the structure and assignment mechanisms of treatments in experimental studies where the outcome of one unit may be influenced by the treatment assigned to other units.

33

Publications

1.6K

Citations

58

Authors

46

Institutions

Publications per year

2017–2026

10

Authors

58

  1. KF
    Katarzyna Filipiak

    Poznań University of Technology, Poland

    4 publications · 58 citations

    4

    h-index

  2. PM
    Peter M. Aronow

    Yale University, United States

    3 publications · 101 citations

    3

    h-index

  3. TJ
    Tyler J. VanderWeele

    Harvard University, United States

    3 publications · 166 citations

    3

    h-index

  4. MG
    Michael G. Hudgens

    University of North Carolina at Chapel Hill, United States

    2 publications · 70 citations

    2

    h-index

  5. FS
    Fredrik Sävje

    Yale University, United States

    2 publications · 81 citations

    2

    h-index

1–5 of 58

Venues

  1. 3

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  2. Statistics & Probability Letters

    3 publications · 89 citations

    3

    h-index

  3. arXiv (Cornell University)

    Repository · 3 publications · 70 citations

    3

    h-index

  4. Metrika

    1 publications · 22 citations

    1

    h-index

  5. Perceptual and Motor Skills

    1 publications · 69 citations

    1

    h-index

1–5