Marginal regression models for clustered count data based on zero-inflated Conway-Maxwell-Poisson distribution with applications.

ABSTRACT: Community water fluoridation is an important public health measure to prevent dental caries, but it continues to be somewhat controversial. The Iowa Fluoride Study (IFS) is a longitudinal study on a cohort of Iowa children that began in 1991. The main purposes of this study (http://www.dentistry.uiowa.edu/preventive-fluoride-study) were to quantify fluoride exposures from both dietary and nondietary sources and to associate longitudinal fluoride exposures with dental fluorosis (spots on teeth) and dental caries (cavities). We analyze a subset of the IFS data by a marginal regression model with a zero-inflated version of the Conway-Maxwell-Poisson distribution for count data exhibiting excessive zeros and a wide range of dispersion patterns. In general, we introduce two estimation methods f

SUBMITTER: Choo-Wosoba H 

PROVIDER: S-EPMC4948193 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature