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2014
Abstract Binomial regression is used to assess the relationship between a binary response variable and other explanatory variables. Popular instances of binomial regression include examination of the etiology of adverse health states using a case–control study and development of prediction algorithms for assessing the risk of adverse health outcomes (
John Muschelli +2 more
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Abstract Binomial regression is used to assess the relationship between a binary response variable and other explanatory variables. Popular instances of binomial regression include examination of the etiology of adverse health states using a case–control study and development of prediction algorithms for assessing the risk of adverse health outcomes (
John Muschelli +2 more
openaire +1 more source
Geographically Weighted Negative Binomial Regression—incorporating overdispersion
Statistics and Computing, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
da Silva, Alan Ricardo +1 more
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Semiparametric Negative Binomial Regression Models
Communications in Statistics - Simulation and Computation, 2010Negative-binomial (NB) regression models have been widely used for analysis of count data displaying substantial overdispersion (extra-Poisson variation). However, no formal lack-of-fit tests for a postulated parametric model for a covariate effect have been proposed. Therefore, a flexible parametric procedure is used to model the covariate effect as a
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Coreset Construction for Extra Binomial Variation in Binomial Regression
2023 International Conference on Information Networking (ICOIN), 2023Faqiang Zhang +2 more
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Jeffreys-prior penalty, finiteness and shrinkage in binomial-response generalized linear models
Biometrika, 2021Ioannis Kosmidis, David Firth
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