Time-dependent Cox Regression

Time-Dependent Cox Regression is a statistical survival model that extends the Cox proportional hazards framework by incorporating covariates whose values may change over time, thereby allowing hazard ratios to be estimated when predictor variables are time-dependent.

856

Publications

62.9K

Citations

5.9K

Authors

1.8K

Institutions

Publications per year

2017–2026

402

Variants

Time-varying Cox Regression

Authors

5.9K

  1. LA
    Laurent Azoulay

    Jewish General Hospital, Canada

    13 publications · 447 citations

    12

    h-index

  2. CT
    Christian Torp‐Pedersen

    Gentofte Hospital, Denmark

    11 publications · 681 citations

    11

    h-index

  3. MA
    Michał Abrahamowicz

    McGill University, Canada

    11 publications · 865 citations

    11

    h-index

  4. GG
    Gunnar Gislason

    Gentofte Hospital, Denmark

    10 publications · 648 citations

    10

    h-index

  5. HY
    Hui Yin

    Jewish General Hospital, Canada

    10 publications · 386 citations

    10

    h-index

1–5 of 5.9K

Venues

  1. Statistics in Medicine

    22 publications · 2.5K citations

    20

    h-index

  2. PLoS ONE

    29 publications · 921 citations

    20

    h-index

  3. Diabetes Care

    14 publications · 1.8K citations

    14

    h-index

  4. Journal of Clinical Oncology

    16 publications · 2.6K citations

    14

    h-index

  5. Nephrology Dialysis Transplantation

    NDT · 15 publications · 1.2K citations

    14

    h-index

1–5