Individual Frailty Models

Individual Frailty Models is a statistical survival model that incorporates a unique random effect, or frailty term, at the individual level to account for unobserved heterogeneity in time-to-event data while assuming independence across subjects.

63

Publications

6.7K

Citations

187

Authors

103

Institutions

Publications per year

2017–2026

10

Authors

187

  1. AI
    Anatoli I. Yashin

    Duke University, United States

    5 publications · 485 citations

    5

    h-index

  2. OO
    Odd O. Aalen

    University of Oslo, Norway

    5 publications · 186 citations

    5

    h-index

  3. IA
    Ivan A. Iachine

    Odense University Hospital, Denmark

    5 publications · 570 citations

    5

    h-index

  4. JW
    James W. Vaupel

    Max Planck Institute for Demographic Research, Germany

    4 publications · 3K citations

    4

    h-index

  5. MI
    Maria Iachina

    Odense University Hospital, Denmark

    2 publications · 172 citations

    2

    h-index

1–5 of 187

Venues

  1. Statistics in Medicine

    5 publications · 201 citations

    5

    h-index

  2. Biostatistics

    3 publications · 82 citations

    3

    h-index

  3. Demography

    3 publications · 2.8K citations

    3

    h-index

  4. Mathematical Population Studies

    2 publications · 313 citations

    2

    h-index

  5. Journal of the American Geriatrics Society

    2 publications · 123 citations

    2

    h-index

1–5