Multiplicative Risk Models

Multiplicative Risk Models is a statistical modeling framework in actuarial analytics that belongs to the class of hazard-based models, distinguished by its assumption that the overall risk of an event arises as the product of baseline risk and multiplicative covariate effects, typically represented in the form of exponential regression structures.

142

Publications

9.5K

Citations

602

Authors

333

Institutions

Publications per year

2017–2026

24

Authors

602

  1. JH
    Jay H. Lubin

    National Cancer Institute, United States

    3 publications · 676 citations

    3

    h-index

  2. MT
    Margareta Törnqvist

    Stockholm University, Sweden

    3 publications · 85 citations

    3

    h-index

  3. CR
    Clarice R. Weinberg

    National Institute of Environmental Health Sciences, United States

    3 publications · 143 citations

    3

    h-index

  4. NC
    Nilanjan Chatterjee

    National Cancer Institute, United States

    3 publications · 286 citations

    3

    h-index

  5. NE
    N. E. Breslow

    University of Washington, United States

    3 publications · 753 citations

    3

    h-index

1–5 of 602

Venues

  1. Statistics in Medicine

    9 publications · 2K citations

    9

    h-index

  2. American Journal of Epidemiology

    AJE · 8 publications · 430 citations

    8

    h-index

  3. Risk Analysis

    7 publications · 404 citations

    7

    h-index

  4. Biometrika

    4 publications · 127 citations

    4

    h-index

  5. PubMed

    Repository · 4 publications · 169 citations

    4

    h-index

1–5