Journal
JOURNAL OF MODERN APPLIED STATISTICAL METHODS
Volume 16, Issue 1, Pages 518-543Publisher
WAYNE STATE UNIV PRESS
DOI: 10.22237/jmasm/1493598600
Keywords
zero-inflated analysis; count data
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Funding
- National Institutes of Health [G20RR030883]
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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.
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