Mediation Effect Decomposition

Mediation Effect Decomposition is a statistical framework that decomposes the total effect of an independent variable on an outcome into direct and indirect (mediated) components to clarify causal mechanisms operating through specified mediators.

164

Publications

71.1K

Citations

463

Authors

281

Institutions

Publications per year

2017–2026

86

Authors

463

  1. TJ
    Tyler J. VanderWeele

    Harvard University, United States

    8 publications · 1.7K citations

    8

    h-index

  2. DP
    David P. MacKinnon

    Arizona State University, United States

    8 publications · 2.4K citations

    8

    h-index

  3. SV
    Stijn Vansteelandt

    Ghent University, Belgium

    8 publications · 1.8K citations

    8

    h-index

  4. AF
    Andrew F. Hayes

    The Ohio State University, United States

    6 publications · 55.3K citations

    6

    h-index

  5. EJ
    Eric J. Tchetgen Tchetgen

    Harvard University, United States

    4 publications · 543 citations

    4

    h-index

1–5 of 463

Venues

  1. American Journal of Epidemiology

    AJE · 9 publications · 1.2K citations

    10

    h-index

  2. Epidemiology

    9 publications · 1.5K citations

    9

    h-index

  3. Biometrics

    5 publications · 633 citations

    5

    h-index

  4. Behavior Research Methods

    BRM · 5 publications · 34.7K citations

    5

    h-index

  5. 4

    h-index

1–5