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
BA in Psychology, Yonsei University
MA in Developmental Psycholgy, Yonsei University
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Projects
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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
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Innovative Analyses of Alcohol Intervention Trials for College Students
Mun, E. & MUN, E.
20/04/10 → 30/04/21
Project: Research
Research Output
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A CD-based mapping method for combining multiple related parameters from heterogeneous intervention trials
Jiao, Y., Mun, E. Y., Trikalinos, T. A. & Xie, M., 2020, In: Statistics and its Interface. 13, 4, p. 533-549 17 p.Research output: Contribution to journal › Article › peer-review
Open Access -
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 Sep 2020, In: International Journal of Behavioral Development. 44, 5, p. 447-457 11 p.Research output: Contribution to journal › Article › peer-review
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 Mar 2020, In: Alcoholism: Clinical and Experimental Research. 44, 3, p. 589-599 11 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Mobile assessment of acute effects of marijuana on cognitive functioning in young adults: Observational study
Chung, T., Bae, S. W., Mun, E. Y., Suffoletto, B., Nishiyama, Y., Jang, S. & Dey, A. K., 2020, In: JMIR mHealth and uHealth. 8, 3, e16240.Research output: Contribution to journal › Article › peer-review
Open Access -
Protective behavioral strategies are more helpful for avoiding alcohol-related problems for college drinkers who drink less
Li, X., Clarke, N., Kim, S. Y., Ray, A. E., Walters, S. T. & Mun, E. Y., 2020, (Accepted/In press) In: Journal of American College Health.Research output: Contribution to journal › Article › peer-review