Assessing Area under the Curve as an Alternative to Latent Growth Curve Modeling for Repeated Measures Zero-Inflated Poisson Data: A Simulation Study

• Published in: Stats (Basel, Switzerland) Vol. 6; no. 1; pp. 354 - 364
• Main Author: Rodriguez, Daniel
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.02.2023
• Subjects: area under the curve; Data analysis; Drug use; Generalized linear models; Growth curve modeling; latent growth curve modeling; longitudinal data; Monte Carlo method; Monte Carlo simulation; Monte Carlo simulation study; Poisson distribution; Random variables; Software; Substance abuse; substance use; Vaping; Within-subjects design; zero-inflated Poisson distribution; United States

Researchers interested in the assessment of substance use trajectories, and predictors of change, have several data analysis options. These include, among others, generalized estimating equations and latent growth curve modeling. One difficulty in the assessment of substance use, however, is the nat...