期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2017
卷号：16
期号：1
页码：29
出版社：Wayne State University
摘要：The performance of several models under different conditions of zero-inflation and dispersion are evaluated. Results from simulated and real data showed that the zero-altered 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.
