A Score Test for Zero-Inflation in Correlated Count Data
Contribuinte(s) |
R D'Agonstino |
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Data(s) |
30/05/2006
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Resumo |
To account for the preponderance of zero counts and simultaneous correlation of observations, a class of zero-inflated Poisson mixed regression models is applicable for accommodating the within-cluster dependence. In this paper, a score test for zero-inflation is developed for assessing correlated count data with excess zeros. The sampling distribution and the power of the test statistic are evaluated by simulation studies. The results show that the test statistic performs satisfactorily under a wide range of conditions. The test procedure is further illustrated using a data set on recurrent urinary tract infections. Copyright (c) 2005 John Wiley & Sons, Ltd. |
Identificador | |
Idioma(s) |
eng |
Publicador |
John Wiley & Sons Ltd |
Palavras-Chave | #Statistics & Probability #Public, Environmental & Occupational Health #Medical Informatics #Medicine, Research & Experimental #Count Data #Poisson Mixed Model #Power #Score Test #Zero-inflation #Poisson Regression #Models #Alternatives #C1 #230204 Applied Statistics #230203 Statistical Theory #780101 Mathematical sciences #0104 Statistics |
Tipo |
Journal Article |