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
MA in Developmental Psycholgy, Yonsei University
BA in Psychology, Yonsei University
Fingerprint Dive into the research topics where Eun-Young Mun is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Alcohols
Medicine & Life Sciences
Drinking
Medicine & Life Sciences
Students
Medicine & Life Sciences
alcohol
Social Sciences
Young Adult
Medicine & Life Sciences
Cues
Medicine & Life Sciences
Heart Rate
Medicine & Life Sciences
frequency analysis
Social Sciences
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2018 2022
- 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 2001 2019
1
Citation
(Scopus)
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
Metadata
Meta-Analysis
Alcohols
Therapeutics
Random Allocation
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
Markov Chains
Feasibility Studies
Research
Meta-Analysis
Psychology
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-Almaquer, E. E. & Walters, S. T., 1 Jun 2019, In : Journal of Substance Abuse Treatment. 101, p. 12-17 6 p.Research output: Contribution to journal › Article
Saliva
Toxicology
Longitudinal Studies
Methamphetamine
Amphetamine
2
Citations
(Scopus)
Integrative data analysis from a unifying research synthesis perspective
Mun, E-Y. & Ray, A. E., 18 Jan 2018, Alcohol Use Disorders: A Developmental Science Approach to Etiology. Oxford University Press, p. 351-354 4 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
Research
Alcohols
Psychology
24
Citations
(Scopus)
Do drinking motives distinguish extreme drinking college students from their peers?
White, H. R., Anderson, K. G., Ray, A. E. & Mun, E-Y., 1 Sep 2016, In : Addictive Behaviors. 60, p. 213-218 6 p.Research output: Contribution to journal › Article
Drinking
Students
Binge Drinking
Preventive Health Services
Alcohols