Dr. Huang specializes in latent variable modeling, confirmatory factor analysis (CFA), structural equation modeling (SEM) and mediation analysis. He also has expertise in longitudinal data analysis, hierarchical linear models. He is proficient with Mplus statistical software.
Dr. Huang’s interests include the application of advanced statistical methodology for prevention research on substance use and HIV risk behavior. Dr. Huang has served on a number of NIH and CDC-funded studies focused on substance abuse and HIV prevention (totally approximately $10 million).