A score test for zero-inflation in correlated count data
Related Experiment Video
Updated: Aug 16, 2026

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
Published on: August 9, 2024
Liming Xiang1, Andy H Lee, Kelvin K W Yau
1Department of Epidemiology and Biostatistics, School of Public Health, Curtin University of Technology, G.P.O. Box U 1987, Perth, WA 6845, Australia.
Abstract:
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.
Related Concept Videos
Coefficient of Correlation
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the strength of the linear...
Introduction to z Scores
z scores help...
Introduction to z Scores
z scores help...
Cochran's Q Test
Bonferroni Test
The means of different samples are first paired in all possible combinations.
The null hypothesis of the...
Wald-Wolfowitz Runs Test II
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and 0s. In...