Time-dependent Covariates

Time-Dependent Covariates is a type of covariate in survival analysis that varies over time and allows the modeling of predictor variables whose values change during the follow-up period, thereby distinguishing it from time-invariant covariates by incorporating dynamic risk factors into the hazard function.

1.6K

Publications

151.2K

Citations

3.3K

Authors

1.3K

Institutions

Publications per year

2017–2026

298

Authors

3.3K

  1. DY
    D. Y. Lin

    University of North Carolina at Chapel Hill, United States

    23 publications · 4.1K citations

    21

    h-index

  2. MA
    Michał Abrahamowicz

    McGill University, Canada

    25 publications · 1.7K citations

    20

    h-index

  3. JM
    James M. Robins

    Harvard University, United States

    20 publications · 5K citations

    18

    h-index

  4. MJ
    Mark J. van der Laan

    University of California, Berkeley, United States

    17 publications · 724 citations

    15

    h-index

  5. LJ
    L. J. Wei

    Harvard University, United States

    14 publications · 4.4K citations

    14

    h-index

1–5 of 3.3K

Venues

  1. Statistics in Medicine

    225 publications · 19.2K citations

    62

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  2. Biometrics

    154 publications · 21.5K citations

    58

    h-index

  3. Journal of the American Statistical Association

    100 publications · 12.3K citations

    48

    h-index

  4. Biometrika

    75 publications · 13.7K citations

    42

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  5. Biostatistics

    40 publications · 2.1K citations

    24

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1–5