Conditional Survival Models

Conditional Survival Models is a statistical survival analysis framework that belongs to the class of time-to-event models, distinguished by its incorporation of time-dependent covariates or random effects to model the hazard function conditional on prior survival and available longitudinal or frailty information.

540

Publications

73.2K

Citations

2.7K

Authors

993

Institutions

Publications per year

2017–2026

196

Authors

2.7K

  1. CR
    Charles R. Thomas

    Oregon Health & Science University, United States

    11 publications · 795 citations

    11

    h-index

  2. CD
    Clifton D. Fuller

    The University of Texas MD Anderson Cancer Center, United States

    11 publications · 777 citations

    10

    h-index

  3. SF
    Shahrokh F. Shariat

    Medical University of Vienna, Austria

    10 publications · 547 citations

    10

    h-index

  4. SJ
    Samuel J. Wang

    Oregon Health & Science University, United States

    9 publications · 728 citations

    9

    h-index

  5. ZT
    Zhe Tian

    Université de Montréal, Canada

    7 publications · 267 citations

    7

    h-index

1–5 of 2.7K

Venues

  1. Cancer

    19 publications · 1.6K citations

    19

    h-index

  2. Biometrics

    24 publications · 2.3K citations

    18

    h-index

  3. 15

    h-index

  4. Statistics in Medicine

    22 publications · 1.3K citations

    14

    h-index

  5. Journal of Clinical Oncology

    11 publications · 1.5K citations

    10

    h-index

1–5