Semi-parametric Mortality Models

Semi-Parametric Mortality Models is a mortality modeling approach that combines a non-parametric baseline hazard function with parametric covariate effects to flexibly capture age-specific death rates while allowing for structured inference on risk factors.

72

Publications

2.9K

Citations

191

Authors

131

Institutions

Publications per year

2017–2026

16

Authors

191

  1. DE
    Douglas E. Schaubel

    University of Michigan, United States

    2 publications · 71 citations

    2

    h-index

  2. FI
    Francesca Ieva

    Politecnico di Milano, Italy

    2 publications · 96 citations

    2

    h-index

  3. SH
    Steven Haberman

    City, University of London, United Kingdom

    2 publications · 266 citations

    2

    h-index

  4. TM
    Torben Martinussen

    University of Copenhagen, Denmark

    2 publications · 66 citations

    2

    h-index

  5. TL
    Tzuling Lin

    National Chung Cheng University, Taiwan

    2 publications · 44 citations

    2

    h-index

1–5 of 191

Venues

  1. Biometrics

    7 publications · 310 citations

    7

    h-index

  2. Insurance Mathematics and Economics

    6 publications · 371 citations

    6

    h-index

  3. Biostatistics

    3 publications · 103 citations

    3

    h-index

  4. Asian Pacific Journal of Cancer Prevention

    APJCP · 3 publications · 51 citations

    3

    h-index

  5. Astin Bulletin

    3 publications · 140 citations

    3

    h-index

1–5