Dynamic Frailty Models

Dynamic Frailty Models is a class of stochastic survival models that extends traditional frailty models by incorporating time-varying random effects to capture evolving unobserved heterogeneity in longitudinal or clustered event time data.

20

Publications

1.7K

Citations

71

Authors

41

Institutions

Publications per year

2017–2026

9

Variants

Dynamic Frailty Model

Authors

71

  1. AM
    Arnold Mitnitski

    Dalhousie University, Canada

    2 publications · 222 citations

    2

    h-index

  2. DD
    Darrell Duffie

    Stanford University, United States

    2 publications · 708 citations

    2

    h-index

  3. GH
    Guillaume Horel

    Stanford University, United States

    2 publications · 708 citations

    2

    h-index

  4. AE
    Andreas Eckner

    Stanford University, United States

    2 publications · 708 citations

    2

    h-index

  5. KR
    Kenneth Rockwood

    Dalhousie University, Canada

    2 publications · 222 citations

    2

    h-index

1–5 of 71

Venues

  1. Biometrics

    2 publications · 97 citations

    2

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  2. Operations Research for Health Care

    1 publications · 13 citations

    1

    h-index

  3. Journal of Risk & Insurance

    1 publications · 19 citations

    1

    h-index

  4. Journal of Air Transport Management

    1 publications · 10 citations

    1

    h-index

  5. Lifetime Data Analysis

    1 publications · 28 citations

    1

    h-index

1–5