Marginalized zero-inflated Poisson models with missing covariates.

Published

Journal Article

Unlike zero-inflated Poisson regression, marginalized zero-inflated Poisson (MZIP) models for counts with excess zeros provide estimates with direct interpretations for the overall effects of covariates on the marginal mean. In the presence of missing covariates, MZIP and many other count data models are ordinarily fitted using complete case analysis methods due to lack of appropriate statistical methods and software. This article presents an estimation method for MZIP models with missing covariates. The method, which is applicable to other missing data problems, is illustrated and compared with complete case analysis by using simulations and dental data on the caries preventive effects of a school-based fluoride mouthrinse program.

Full Text

Duke Authors

Cited Authors

  • Benecha, HK; Preisser, JS; Divaris, K; Herring, AH; Das, K

Published Date

  • July 2018

Published In

Volume / Issue

  • 60 / 4

Start / End Page

  • 845 - 858

PubMed ID

  • 29748991

Pubmed Central ID

  • 29748991

Electronic International Standard Serial Number (EISSN)

  • 1521-4036

International Standard Serial Number (ISSN)

  • 0323-3847

Digital Object Identifier (DOI)

  • 10.1002/bimj.201600249

Language

  • eng