A comparison of different methods of zero - inflated data analysis and an application in health surveys
Date of Original Version
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.
Journal of Modern Applied Statistical Methods
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.