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
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2.9K
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191
Authors
131
Institutions
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2017–2026
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On semiparametric transformation cure models
Wenbin Lu · Biometrika · 2004 · 158 citations
Parametric analyses of mortality rates in bioassays
S.A.L.M. Koouman · Water Research · 1981 · 134 citations
A NEURAL-NETWORK ANALYZER FOR MORTALITY FORECAST
Donatien Hainaut · Astin Bulletin · 2018 · 104 citations · Full text
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University of Michigan
Ann Arbor, United States
3 h-index
5 publications
216 citations
Harvard University
Cambridge, United States
3 h-index
12 publications
572 citations
Massachusetts General Hospital
Boston, United States
2 h-index
5 publications
319 citations
Heidelberg University
Heidelberg, Germany
2 h-index
2 publications
100 citations

Drexel University
Philadelphia, United States
2 h-index
3 publications
89 citations

University of Milan
Milan, Italy
2 h-index
2 publications
96 citations
University of Washington
Seattle, United States
2 h-index
5 publications
157 citations
University of Copenhagen
Copenhagen, Denmark
2 h-index
3 publications
81 citations
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7 publications · 310 citations
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6 publications · 371 citations
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3 publications · 103 citations
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APJCP · 3 publications · 51 citations
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3 publications · 140 citations
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