Causal Survival Analysis

Causal Survival Analysis is a longitudinal causal inference method that extends standard survival analysis by estimating the causal effect of time-varying exposures on time-to-event outcomes while accounting for time-dependent confounding and censoring.

54

Publications

4.8K

Citations

171

Authors

120

Institutions

Publications per year

2017–2026

26

Authors

171

  1. JM
    James M. Robins

    Harvard University, United States

    5 publications · 2.5K citations

    5

    h-index

  2. MA
    Miguel A. Hernán

    Harvard University, United States

    3 publications · 2.3K citations

    3

    h-index

  3. LL
    Lei Liu

    University of Virginia, United States

    2 publications · 63 citations

    2

    h-index

  4. CZ
    Cheng Zheng

    University of Washington, United States

    2 publications · 63 citations

    2

    h-index

  5. PB
    Peter B. Gilbert

    Fred Hutch Cancer Center, United States

    2 publications · 52 citations

    2

    h-index

1–5 of 171

Venues

  1. Statistics in Medicine

    6 publications · 241 citations

    6

    h-index

  2. Epidemiology

    5 publications · 2.2K citations

    5

    h-index

  3. Biometrics

    4 publications · 299 citations

    4

    h-index

  4. Lifetime Data Analysis

    3 publications · 309 citations

    3

    h-index

  5. 3

    h-index

1–5