Per-protocol Effect Estimation

Per-Protocol Effect Estimation is a causal inference method in target trial emulation that estimates the treatment effect among individuals who adhered to the assigned intervention protocol as specified in the emulated trial design, thereby conditioning on post-randomization adherence behavior to isolate the effect under protocol-compliant execution.

123

Publications

8.1K

Citations

744

Authors

408

Institutions

Publications per year

2017–2026

58

Authors

744

  1. MA
    Miguel A. Hernán

    Harvard University, United States

    11 publications · 2.1K citations

    11

    h-index

  2. EJ
    Eleanor J. Murray

    Boston University, United States

    5 publications · 193 citations

    5

    h-index

  3. SR
    Stephen R. Cole

    University of North Carolina at Chapel Hill, United States

    3 publications · 57 citations

    3

    h-index

  4. RL
    Roger Logan

    Harvard University, United States

    3 publications · 367 citations

    3

    h-index

  5. AM
    Anthony Matthews

    Karolinska Institutet, Sweden

    3 publications · 70 citations

    3

    h-index

1–5 of 744

Venues

  1. Clinical Trials

    6 publications · 693 citations

    6

    h-index

  2. Statistics in Medicine

    6 publications · 236 citations

    6

    h-index

  3. Trials

    4 publications · 129 citations

    4

    h-index

  4. PubMed

    Repository · 4 publications · 77 citations

    4

    h-index

  5. BMJ Open

    3 publications · 152 citations

    3

    h-index

1–5