Nested Parametric Models

Nested Parametric Models is a type of parametric survival model that belongs to the class of statistical survival models and is distinguished by its specification of multiple hierarchical or embedded parametric hazard functions, where a simpler model can be recovered as a special case of a more complex one through parameter constraints.

76

Publications

35K

Citations

205

Authors

135

Institutions

Publications per year

2017–2026

13

Authors

205

  1. KD
    Kenneth D. West

    University of Wisconsin–Madison, United States

    3 publications · 3K citations

    3

    h-index

  2. TE
    Todd E. Clark

    Federal Reserve Bank of Cleveland, United States

    3 publications · 3K citations

    3

    h-index

  3. TH
    Torsten Hothorn

    University of Zurich, Switzerland

    3 publications · 968 citations

    3

    h-index

  4. RG
    Raffaella Giacomini

    University College London, United Kingdom

    2 publications · 579 citations

    2

    h-index

  5. GL
    Gary L. Tietjen

    Los Alamos National Laboratory, United States

    2 publications · 33 citations

    2

    h-index

1–5 of 205

Venues

  1. Biometrics

    3 publications · 49 citations

    3

    h-index

  2. Statistics in Medicine

    3 publications · 63 citations

    3

    h-index

  3. Biometrika

    3 publications · 205 citations

    3

    h-index

  4. 3

    h-index

  5. SSRN Electronic Journal

    Repository · 3 publications · 596 citations

    3

    h-index

1–5