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A bivariate zero-inflated negative binomial regression model for count data with excess zeros. (English) Zbl 1255.62211
Summary: We propose a bivariate zero-inflated negative binomial regression model for count data with excess zeros, and provides an estimation method based on the EM and quasi-Newton algorithms. An application to the analysis of health-care utilization is given.

MSC:
62J12 Generalized linear models (logistic models)
62H12 Estimation in multivariate analysis
65C60 Computational problems in statistics (MSC2010)
62P10 Applications of statistics to biology and medical sciences; meta analysis
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