Interference-robust Estimation

Interference-Robust Estimation is a statistical inference method designed to yield valid causal effect estimates in the presence of cross-unit interference, thereby distinguishing it from conventional estimation techniques that assume treatment independence.

38

Publications

2K

Citations

78

Authors

56

Institutions

Publications per year

2017–2026

21

Authors

78

  1. MG
    Michael G. Hudgens

    University of North Carolina at Chapel Hill, United States

    6 publications · 285 citations

    7

    h-index

  2. ME
    Michael Emch

    University of North Carolina at Chapel Hill, United States

    2 publications · 106 citations

    3

    h-index

  3. JD
    John D. Clemens

    International Vaccine Institute, South Korea

    2 publications · 106 citations

    3

    h-index

  4. MA
    Mohammad Ali

    International Vaccine Institute, South Korea

    2 publications · 106 citations

    3

    h-index

  5. MP
    Michael P. Leung

    University of Southern California, United States

    2 publications · 76 citations

    2

    h-index

1–5 of 78

Venues

  1. Biometrics

    2 publications · 109 citations

    3

    h-index

  2. arXiv (Cornell University)

    Repository · 3 publications · 52 citations

    3

    h-index

  3. The Annals of Applied Statistics

    AOAS · 2 publications · 48 citations

    2

    h-index

  4. Statistical Methods in Medical Research

    2 publications · 471 citations

    2

    h-index

  5. Biometrika

    2 publications · 112 citations

    2

    h-index

1–5