Time-varying Effect Estimation

Time-Varying Effect Estimation is a statistical modeling approach that specifies the dynamic influence of predictor variables on an outcome variable over time, distinguishing itself by explicitly allowing the magnitude and direction of causal effects to evolve non-statically within longitudinal observational or experimental data.

84

Publications

6.3K

Citations

196

Authors

132

Institutions

Publications per year

2017–2026

36

Authors

196

  1. RL
    Runze Li

    Pennsylvania State University, United States

    6 publications · 598 citations

    6

    h-index

  2. DA
    Daniel Almirall

    University of Michigan, United States

    5 publications · 975 citations

    5

    h-index

  3. SA
    Susan A. Murphy

    University of Michigan, United States

    5 publications · 975 citations

    5

    h-index

  4. MS
    Mariya Shiyko

    Northeastern University, United States

    4 publications · 535 citations

    4

    h-index

  5. ST
    Stephanie T. Lanza

    Pennsylvania State University, United States

    3 publications · 239 citations

    3

    h-index

1–5 of 196

Venues

  1. SSRN Electronic Journal

    Repository · 4 publications · 72 citations

    4

    h-index

  2. Psychological Methods

    4 publications · 415 citations

    4

    h-index

  3. Biometrics

    3 publications · 90 citations

    3

    h-index

  4. 3

    h-index

  5. Statistics in Medicine

    2 publications · 57 citations

    2

    h-index

1–5