Time-dependent Effect Modeling

Time-Dependent Effect Modeling is a statistical modeling approach that extends the Cox proportional hazards framework by allowing hazard ratios to vary as functions of time, thereby capturing covariate effects that change over follow-up duration rather than remaining constant.

309

Publications

41.4K

Citations

988

Authors

497

Institutions

Publications per year

2017–2026

86

Variants

Time-varying Effect Modeling

Authors

988

  1. MA
    Michał Abrahamowicz

    McGill University, Canada

    13 publications · 1.1K citations

    13

    h-index

  2. PR
    Patrick Royston

    MRC Clinical Trials Unit at UCL, United Kingdom

    7 publications · 1.3K citations

    7

    h-index

  3. HC
    Hans C. van Houwelingen

    Leiden University Medical Center, Netherlands

    6 publications · 372 citations

    6

    h-index

  4. JM
    James M. Robins

    Harvard University, United States

    6 publications · 2.5K citations

    6

    h-index

  5. PC
    Paul C. Lambert

    University of Leicester, United Kingdom

    5 publications · 1.1K citations

    5

    h-index

1–5 of 988

Venues

  1. Statistics in Medicine

    48 publications · 4.8K citations

    28

    h-index

  2. Biometrics

    13 publications · 795 citations

    12

    h-index

  3. BMC Medical Research Methodology

    8 publications · 634 citations

    8

    h-index

  4. Biometrical Journal

    7 publications · 321 citations

    7

    h-index

  5. 7

    h-index

1–5