Overdispersion Analysis is a statistical methodology used in counting statistics that identifies and quantifies greater variability in count data than expected under a given theoretical distribution, particularly to assess the adequacy of models such as the Poisson by examining the excess variation beyond what is predicted by the mean-variance relationship inherent in such models.
326
Publications
29.4K
Citations
818
Authors
463
Institutions
Publications per year
2017–2026
69
Parents
Publications
326
1–5 of 326
Authors
818
- JW
7
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- CG
7
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- CB
6
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- CL
5
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- ZY
5
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1–5 of 818
Institutions
463
University of South Carolina
Columbia, United States
9 h-index
15 publications
593 citations
Imperial College London
London, United Kingdom
8 h-index
15 publications
1.1K citations
University of Washington
Seattle, United States
6 h-index
6 publications
682 citations
Centre National de la Recherche Scientifique
Paris, France
6 h-index
7 publications
321 citations
Harvard University
Cambridge, United States
6 h-index
6 publications
627 citations
Stanford University
Stanford, United States
5 h-index
6 publications
697 citations
Yale University
New Haven, United States
5 h-index
15 publications
1.1K citations
IQVIA (United Kingdom)
London, United Kingdom
5 h-index
5 publications
170 citations
1–8 of 463
Venues
- Journal of the American Statistical Association
16 publications · 2K citations
14
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- Statistics in Medicine
15 publications · 498 citations
14
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- Biometrics
11 publications · 950 citations
11
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- Computational Statistics & Data Analysis
CSDA · 10 publications · 613 citations
10
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- Communication in Statistics- Theory and Methods
9 publications · 813 citations
9
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