Document Type
Article
Date of Original Version
1-1-2017
Abstract
The performance of several models under different conditions of zero-inflation and dispersion are evaluated. Results from simulated and real data showed that the zeroaltered or zero-inflated negative binomial model were preferred over others (e.g., ordinary least-squares regression with log-transformed outcome, Poisson model) when data have excessive zeros and over-dispersion.
Publication Title, e.g., Journal
Journal of Modern Applied Statistical Methods
Volume
16
Issue
1
Citation/Publisher Attribution
Yang, Si, Gavino Puggioni, Lisa L. Harlow, and Colleen A. Redding. "A comparison of different methods of zero - inflated data analysis and an application in health surveys." Journal of Modern Applied Statistical Methods 16, 1 (2017): 518-543. doi: 10.22237/jmasm/1493598600.
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