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Weighted zero-inflated Poisson mixed model with an application to Medicaid utilization data
2018
Communications for Statistical Applications and Methods
In medical or public health research, it is common to encounter clustered or longitudinal count data that exhibit excess zeros. For example, health care utilization data often have a multi-modal distribution with excess zeroes as well as a multilevel structure where patients are nested within physicians and hospitals. To analyze this type of data, zero-inflated count models with mixed effects have been developed where a count response variable is assumed to be distributed as a mixture of a
doi:10.29220/csam.2018.25.2.173
fatcat:kq5vocdd5jepxfmikozy4wvtzy