ORIGINAL RESEARCH
Zero-Inflated Regression Models for Modeling
the Effect of air Pollutants on Hospital Admissions
Mehmet Ali Cengiz
Department of Statistics, University of Ondokuz Mayıs,
Istatıstık Bölümü, 55139 Atakum-Samsun, Turkey
Istatıstık Bölümü, 55139 Atakum-Samsun, Turkey
Pol. J. Environ. Stud. 2012;21(3):565–568
KEYWORDS
ABSTRACT
Count regression methods are the fundamental tool used for modeling the association between environmental
pollution and hospital admissions. Data with many zeros are often encountered in count regression
models. Failure to account for the extra zeros may result in biased parameter estimates and misleading inferences.
Zero-inflated Poisson and zero-inflated negative binomial regression models have been proposed for
situations where the data generating process results in too many zeros.
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