Projects per year
Personal profile
Area of Expertise
I am interested in the identification of developmental processes through which one’s risk for alcohol problems is maintained, intensified, or ameliorated throughout the life span using longitudinal, experimental, and intervention data. In recent years, I have focused on utilizing innovative methodological approaches (e.g., item response theory analysis, multivariate meta-analysis) to alcohol intervention trials to preserve and extend their shelf life and help guide health decisions.
My current R01 project involves collaboration with a large team of independent trial developers and evaluators to systematically review and analyze all available data–study-level aggregate data and item-level participant data. This line of investigation is aimed at providing authoritative answers to questions that are best addressed by large-scale data.
My current R01 project involves collaboration with a large team of independent trial developers and evaluators to systematically review and analyze all available data–study-level aggregate data and item-level participant data. This line of investigation is aimed at providing authoritative answers to questions that are best addressed by large-scale data.
Education/Academic qualification
PhD in Developmental Psycholgy, Michigan State University
Award Date: 1 Jan 2002
MA in Developmental Psycholgy, Yonsei University
Award Date: 1 Jan 2001
BA in Psychology, Yonsei University
Award Date: 1 Jan 2000
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Projects
- 2 Active
Estimating Comparative Effectiveness of Alcohol Interventions for Young Adults
Mun, E., Suzuki, S., Walters, S. & Zhou, Z.
NIAAA: Alcohol Abuse and Alcoholism
1/01/18 → 30/04/22
Project: Research
Research Output
A comparison of Bayesian to maximum likelihood estimation for latent growth models in the presence of a binary outcome
Kim, S. Y., Huh, D., Zhou, Z. & Mun, E. Y., 1 Jan 2020, (Accepted/In press) In : International Journal of Behavioral Development.Research output: Contribution to journal › Article
Open Access
Getting to the Heart of Low Sensitivity to Alcohol: Context Moderates Low Cardiovascular Response to Alcohol in Persons With a Family History of Alcohol Use Disorder
Bates, M. E., Mun, E. Y., Buckman, J. F., Vaschillo, E., Vaschillo, B., Lehrer, P., Udo, T. & Lesnewich, L. M., 1 Jan 2020, (Accepted/In press) In : Alcoholism: Clinical and Experimental Research.Research output: Contribution to journal › Article
Open Access
A tutorial on individual participant data meta-analysis using Bayesian multilevel modeling to estimate alcohol intervention effects across heterogeneous studies
Huh, D., Mun, E-Y., Walters, S. T., Zhou, Z. & Atkins, D. C., 1 Jul 2019, In : Addictive Behaviors. 94, p. 162-170 9 p.Research output: Contribution to journal › Article
1
Scopus
citations
Multivariate higher-order IRT model and MCMC algorithm for linking individual participant data from multiple studies
Mun, E. Y., Huo, Y., White, H. R., Suzuki, S. & de la Torre, J., 1 Jan 2019, In : Frontiers in Psychology. 10, JUN, 328.Research output: Contribution to journal › Article
Open Access
What happens to agreement over time? A longitudinal study of self-reported substance use compared to saliva toxicological testing among subsidized housing residents
Rendon, A., Mun, E. Y., Spence-Almaguer, E. & Walters, S., Jun 2019, In : Journal of Substance Abuse Treatment. 101, p. 12-17 6 p.Research output: Contribution to journal › Article