Joint Frailty Models

Joint Frailty Models is a statistical survival analysis framework that extends standard frailty models by simultaneously modeling multiple correlated time-to-event outcomes through shared random effects, thereby accounting for both within-subject dependence and unobserved heterogeneity.

70

Publications

4.2K

Citations

237

Authors

167

Institutions

Publications per year

2017–2026

21

Authors

237

  1. VR
    Virginie Rondeau

    Inserm, France

    9 publications · 722 citations

    9

    h-index

  2. AI
    Anatoli I. Yashin

    Duke University, United States

    6 publications · 358 citations

    6

    h-index

  3. LL
    Lei Liu

    University of Virginia, United States

    4 publications · 264 citations

    4

    h-index

  4. SM
    Simone Mathoulin‐Pélissier

    Institut Bergonié, France

    4 publications · 308 citations

    4

    h-index

  5. NV
    Niels V. Holm

    Odense University Hospital, Denmark

    3 publications · 204 citations

    3

    h-index

1–5 of 237

Venues

  1. Statistics in Medicine

    12 publications · 530 citations

    12

    h-index

  2. Biometrics

    6 publications · 450 citations

    6

    h-index

  3. Biometrical Journal

    4 publications · 93 citations

    4

    h-index

  4. Biostatistics

    3 publications · 1.1K citations

    3

    h-index

  5. American Journal of Geriatric Psychiatry

    2 publications · 131 citations

    2

    h-index

1–5