Title

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

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

Journal of Modern Applied Statistical Methods

Volume

16

Issue

1

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