Work

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

Year: 2017

Type: article

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 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.

Source: Journal of Modern Applied Statistical Methods

DOI: 10.22237/jmasm/1493598600

Authors: Si Yang, Lisa L Harlow, Gavino Puggioni, Colleen A Redding

Institution: University of Rhode Island

Language: English

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: diamond

Funders: National Institutes of Health, National Center for Research Resources

Award: URI Central Behavior Change Research Facility