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- W2188302575 abstract "We describe a mixed-effect hurdle model for zero-inflated longitudinal count data, where a baseline variable is included in the model specification. Association between the count data process and the endogenous baseline variable is modeled through a latent structure, assumed to be dependent across equations. We show how model parameters can be estimated in a finite mixture context, allowing for overdispersion, multivariate association and endogeneity of the baseline variable. The model behavior is investigated through a large-scale simulation experiment. An empirical example on health care utilization data is provided." @default.
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- W2188302575 date "2013-09-24" @default.
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- W2188302575 title "On Baseline Conditions for Zero-Inflated Longitudinal Count Data" @default.
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- W2188302575 doi "https://doi.org/10.1080/03610918.2012.714032" @default.
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