## Abstract In many biometrical applications, the count data encountered often contain extra zeros relative to the Poisson distribution. Zeroβinflated Poisson regression models are useful for analyzing such data, but parameter estimates may be seriously biased if the nonzero observations are overβd
β¦ LIBER β¦
Pattern-Mixture Zero-Inflated Mixed Models for Longitudinal Unbalanced Count Data with Excessive Zeros
β Scribed by M. Tariqul Hasan; Gary Sneddon; Renjun Ma
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 212 KB
- Volume
- 51
- Category
- Article
- ISSN
- 0323-3847
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## Abstract Twoβpart regression models are frequently used to analyze longitudinal count data with excess zeros, where the same set of subjects is repeatedly observed over time. In this context, several sources of heterogeneity may arise at individual level that affect the observed process. Further