Time-varying Confounding

Time-Varying Confounding is a type of confounding variable in longitudinal causal inference that evolves over time and simultaneously influences both the subsequent treatment assignment and the outcome, thereby introducing bias when estimating causal effects in the presence of time-dependent covariates affected by prior exposures.

294

Publications

29K

Citations

1.1K

Authors

497

Institutions

Publications per year

2017–2026

150

Authors

1.1K

  1. SV
    Stijn Vansteelandt

    Ghent University, Belgium

    12 publications · 794 citations

    12

    h-index

  2. MA
    Miguel A. Hernán

    Harvard University, United States

    10 publications · 11.1K citations

    10

    h-index

  3. JM
    James M. Robins

    Harvard University, United States

    9 publications · 8.1K citations

    9

    h-index

  4. MM
    M. Maria Glymour

    University of California, San Francisco, United States

    8 publications · 566 citations

    8

    h-index

  5. TJ
    Tyler J. VanderWeele

    Harvard University, United States

    7 publications · 883 citations

    7

    h-index

1–5 of 1.1K

Venues

  1. Epidemiology

    25 publications · 9.2K citations

    21

    h-index

  2. American Journal of Epidemiology

    AJE · 24 publications · 3.8K citations

    20

    h-index

  3. Statistics in Medicine

    17 publications · 1.2K citations

    14

    h-index

  4. arXiv (Cornell University)

    Repository · 8 publications · 204 citations

    8

    h-index

  5. Pharmacoepidemiology and Drug Safety

    8 publications · 246 citations

    8

    h-index

1–5