Robust Frailty Models

Robust Frailty Models is a class of statistical survival models that extends standard frailty models by incorporating distributional assumptions or estimation techniques designed to minimize sensitivity to outliers and violations of distributional assumptions in unobserved heterogeneity.

10

Publications

449

Citations

79

Authors

57

Institutions

Publications per year

2017–2026

6

Authors

79

  1. NL
    Ning Li

    Lanzhou University, China

    1 publications · 47 citations

    1

    h-index

  2. JM
    Jorge Miguel Bravo

    Universidade Nova de Lisboa, Portugal

    1 publications · 10 citations

    1

    h-index

  3. SB
    Stefania Bandinelli

    National Institute on Aging, United States

    1 publications · 57 citations

    1

    h-index

  4. RM
    Ryo Manabe

    SHOWA Medical University, Japan

    1 publications · 31 citations

    1

    h-index

  5. JV
    José Viña

    Universitat de València, Spain

    1 publications · 57 citations

    1

    h-index

1–5 of 79

Venues

  1. GeroScience

    1 publications · 57 citations

    1

    h-index

  2. 1

    h-index

  3. PubMed

    Repository · 1 publications · 16 citations

    1

    h-index

  4. Scientific Reports

    1 publications · 102 citations

    1

    h-index

  5. 1

    h-index

1–5