Mixed Poisson Models
Mixed Poisson Models is a type of count data model that extends the standard Poisson distribution by incorporating random effects or latent variables to account for overdispersion through a mixture formulation.
258
Publications
13.9K
Citations
715
Authors
401
Institutions
Publications per year
2017–2026
60
Parents
258
Five-Year Outcomes of Gastric Bypass in Adolescents as Compared with Adults
Thomas H. Inge, Anita P. Courcoulas, Todd Jenkins et al. · New England Journal of Medicine · 2019 · 364 citations · Full text
Medicine, Pediatrics, Surgery +17
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401

University of Waterloo
Waterloo, Canada
18 h-index
29 publications
3.1K citations
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública
Madrid, Spain
9 h-index
39 publications
1.4K citations
University College London
London, United Kingdom
7 h-index
43 publications
1.2K citations
Duke University
Durham, United States
7 h-index
13 publications
2.1K citations
Instituto de Salud Carlos III
Madrid, Spain
5 h-index
21 publications
873 citations

Athens University of Economics and Business
Athens, Greece
5 h-index
6 publications
220 citations
Harvard University
Cambridge, United States
4 h-index
11 publications
349 citations

University of Bristol
Bristol, United Kingdom
4 h-index
24 publications
708 citations
1–8 of 401
11 publications · 394 citations
11
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11 publications · 403 citations
10
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8 publications · 958 citations
8
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JAP · 7 publications · 229 citations
7
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7 publications · 181 citations
7
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