Partial Interference

Partial Interference is a causal inference framework in which treatment effects may spill over among units, but only within predefined subsets or clusters, thereby limiting the extent of interference compared to full or global interference.

144

Publications

5.8K

Citations

282

Authors

163

Institutions

Publications per year

2017–2026

17

Authors

282

  1. MP
    M.B. Pursley

    Clemson University, United States

    13 publications · 510 citations

    11

    h-index

  2. CN
    C. N. J. Wagner

    Yale University, United States

    7 publications · 148 citations

    7

    h-index

  3. LM
    L.B. Milstein

    University of California San Diego, United States

    6 publications · 187 citations

    6

    h-index

  4. XX
    Xiang‐Gen Xia

    University of Delaware, United States

    5 publications · 203 citations

    5

    h-index

  5. DM
    D. M. North

    Yale University, United States

    4 publications · 67 citations

    4

    h-index

1–5 of 282

Venues

  1. IEEE Transactions on Communications

    20 publications · 1.6K citations

    17

    h-index

  2. 7

    h-index

  3. IEEE Transactions on Information Theory

    7 publications · 320 citations

    7

    h-index

  4. IEEE Transactions on Vehicular Technology

    6 publications · 212 citations

    6

    h-index

  5. Zeitschrift für Naturforschung A

    6 publications · 90 citations

    6

    h-index

1–5