Efficient regression modeling for correlated and overdispersed count data
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Publication:5077960
DOI10.1080/03610926.2018.1524486OpenAlexW2908434993WikidataQ128675430 ScholiaQ128675430MaRDI QIDQ5077960
Xiao-Meng Niu, Hyunkeun Ryan Cho
Publication date: 20 May 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2018.1524486
Poisson regressionestimation efficiencynegative binomial regressionquadratic inference functionswithin-subject correlationoverdispersion detection
Cites Work
- Large Sample Properties of Generalized Method of Moments Estimators
- Longitudinal data analysis using generalized linear models
- Improving generalised estimating equations using quadratic inference functions
- An extended random-effects approach to modeling repeated, overdispersed count data
- A statistical model for under- or overdispersed clustered and longitudinal count data
- Some Covariance Models for Longitudinal Count Data with Overdispersion
- Likelihood-based analysis of longitudinal count data using a generalized Poisson model
- Structured additive regression for overdispersed and zero-inflated count data
- Analysing longitudinal count data with overdispersion
- Extended Generalized Estimating Equations for Clustered Data
- Parameter Orthogonality and Bias Adjustment for Estimating Functions
- Model‐based quantification of the volatility of options at transaction level with extended count regression models
- Functional Form and Heterogeneity in Models for Count Data
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