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
Parents
142
Multiplicative Models and Cohort Analysis
N. E. Breslow, Jay H. Lubin, P. Marek et al. · Journal of the American Statistical Association · 1983 · 533 citations
Robert G. Cumming, Margaret H. Thomas, George Szonyi et al. · Journal of the American Geriatrics Society · 1999 · 520 citations
1–5 of 142
602
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National Institute of Environmental Health Sciences, United States
3 publications · 143 citations
3
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3
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3
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1–5 of 602
333
National Cancer Institute
Bethesda, United States
12 h-index
27 publications
2.2K citations

Karolinska Institutet
Stockholm, Sweden
7 h-index
18 publications
1.2K citations
University of Washington
Seattle, United States
6 h-index
8 publications
1.5K citations

Johns Hopkins University
Baltimore, United States
6 h-index
18 publications
683 citations
Harvard University
Cambridge, United States
5 h-index
108 publications
4.4K citations

Stockholm University
Stockholm, Sweden
5 h-index
10 publications
634 citations

The University of Melbourne
Melbourne, Australia
4 h-index
13 publications
1.1K citations
Division of Cancer Epidemiology and Genetics
Bethesda, United States
4 h-index
13 publications
874 citations
1–8 of 333
9 publications · 2K citations
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AJE · 8 publications · 430 citations
8
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7 publications · 404 citations
7
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4 publications · 127 citations
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Repository · 4 publications · 169 citations
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