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National Institute of Environmental Health Sciences

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Your Environment. Your Health.

Publication Detail

Title: Marginalized zero-inflated Poisson models with missing covariates.

Authors: Benecha, Habtamu K; Preisser, John S; Divaris, Kimon; Herring, Amy H; Das, Kalyan

Published In Biom J, (2018 07)

Abstract: 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.

PubMed ID: 29748991 Exiting the NIEHS site

MeSH Terms: No MeSH terms associated with this publication

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