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Marginalized zero-inflated negative binomial regression with application to dental caries. [PDF]
Stat Med, 2016 Preisser JS, Das K, Long DL, Divaris K.
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A Combined PLS and Negative Binomial Regression Model for Inferring Association Networks from Next-Generation Sequencing Count Data. [PDF]
IEEE/ACM Trans Comput Biol Bioinform, 2018 Pesonen M +4 more
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GEE type inference for clustered zero-inflated negative binomial regression with application to dental caries. [PDF]
Comput Stat Data Anal, 2015 Kong M, Xu S, Levy SM, Datta S.
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Using a Negative Binomial Regression Model for Early Warning at the Start of a Hand Foot Mouth Disease Epidemic in Dalian, Liaoning Province, China. [PDF]
PLoS One, 2016 An Q, Wu J, Fan X, Pan L, Sun W.
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Weighted likelihood negative binomial regression
, 2013 Amiguet, Michael +2 more
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Hurdle Negative Binomial Regression Model
ICSA - International Conference on Statistics and Analytics 2019, 2021Poisson regression is a common regression model used for count data with equidispersion. However, in real data application, overdispersion often encountered, suggesting the seek for alternative model to the Poisson regression. In overdispersion data due to excess zeros and additional overdispersion in positive values, one of alternative model that can ...
Ayu Andika +2 more
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Overdispersed negative binomial regression models
Communications in Statistics - Theory and Methods, 1992Overdispersion is a common phenomenon in actual data sets. It is important to have methods of dealing with extra variation in regression situations. This article develops tests for extra-negative binomial variation and gives some numerical methods to deal with it.
Dixi Xue, James A. Deddens
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2007
This second edition of Hilbe's Negative Binomial Regression is a substantial enhancement to the popular first edition. The only text devoted entirely to the negative binomial model and its many variations, nearly every model discussed in the literature is addressed. The theoretical and distributional background of each model is discussed, together with
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This second edition of Hilbe's Negative Binomial Regression is a substantial enhancement to the popular first edition. The only text devoted entirely to the negative binomial model and its many variations, nearly every model discussed in the literature is addressed. The theoretical and distributional background of each model is discussed, together with
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Seemingly Unrelated Negative Binomial Regression
Oxford Bulletin of Economics and Statistics, 2000This paper discusses the specification and estimation of seemingly unrelated multivariate count data models. A new model with negative binomial marginals is proposed. In contrast to a previous model based on the multivariate Poisson distribution, the new model allows for over‐dispersion, a phenomenon that is frequently encountered in economic count ...
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