Correlation Structure and Model Selection for Negative Binomial Distribution in GEE |
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| Authors: | Jisheng Cui Liyun Feng |
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| Institution: | 1. Department of Epidemiology and Preventive Medicine , Monash University , Melbourne, Australia;2. World Health Organization Collaborating Centre for Obesity Prevention , Deakin University , Melbourne, Australia jisheng.cui@deakin.edu.au;4. Department of Epidemiology and Biostatistics, College of Public Health , Zhengzhou University , Henan, China |
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| Abstract: | A new model selection criterion, termed as the “quasi-likelihood under the independence model criterion” (QIC), was proposed by Pan (2001
Pan , W. ( 2001 ). Akaike's information criterion in generalized estimating equations . Biometrics 57 : 120 – 125 .Crossref], PubMed], Web of Science ®] , Google Scholar]) for GEE models. Cui (2007
Cui , J. ( 2007 ). QIC program and model selection in GEE analyses . Stata Journal 7 : 209 – 220 .Web of Science ®] , Google Scholar]) developed a general computing program to implement the QIC method for a range of statistical distributions. However, only a special case of the negative binomial distribution was considered in Cui (2007
Cui , J. ( 2007 ). QIC program and model selection in GEE analyses . Stata Journal 7 : 209 – 220 .Web of Science ®] , Google Scholar]), where the dispersion parameter equals to unity. This article introduces a new computing program that can be applied for the general negative binomial model, where the dispersion parameter can be any fixed value. An example is also given in this article. |
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| Keywords: | GEE Longitudinal Negative binomial QIC |
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