A comparison of different methods of zero - inflated data analysis and an application in health surveys

Authors

Si Yang, University of Rhode Island
Gavino Puggioni, University of Rhode Island
Lisa L. Harlow, University of Rhode Island
Colleen A. Redding, University of Rhode Island

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.