School of Public Health

Research Synthesis: Meta-analysis and Integrative Data Analysis

Meta Analysis Integrative Data Analysis10

Meta-analysis and integrative data analysis are research synthesis methods that aim to provide large-scale evidence by pooling data from multiple independently conducted studies.

Clarke, N., Kim, S.-Y., White, H. R., Jiao, Y., & Mun, E.-Y. (2013). Associations between alcohol

use and alcohol-related negative consequences among Black and White college men and women. Journal of Studies on Alcohol and Drugs, 74(4), 521-531.

Huh, D., Mun, E.-Y., Larimer, M. White, H. R., Ray, A. E., Rhew, I., Kim, S.-Y., Jiao, Y., & Atkins, D. C. (2015). Brief motivational interventions for college student drinking may not be as powerful as we think: An individual participant-level data meta-analysis. Alcoholism: Clinical and Experimental Research, 39(5), 919-931.

Huh, D., Mun, E. Y., Walters, S. T., Zhou, Z., & Atkins, D. C. (2019). A tutorial on individual participant data meta-analysis using Bayesian multilevel modeling to estimate alcohol intervention effects across heterogeneous studies. Addictive behaviors94, 162-170.

Huh, D., Li, X., Zhou, Z., Walters, S. T., Baldwin, S. A., Tan, Z., … & Mun, E. Y. (2022). A structural equation modeling approach to meta-analytic mediation analysis using individual participant data: Testing protective behavioral strategies as a mediator of brief motivational intervention effects on alcohol-related problems. Prevention Science23(3), 390-402.

Jiao, Y., Mun, E.-Y., Trikalinos, T., & Xie, M. (2020). A CD-based mapping method for combining multiple related parameters from heterogeneous intervention trials. Statistics and Its Interface, 13(4), 533-549.

Mun, E. Y., Li, X., Lineberry, S., Tan, Z., Huh, D., Walters, S. T., … & Project INTEGRATE Team. (2022). Do brief alcohol interventions reduce driving after drinking among college students? A two-step meta-analysis of individual participant data. Alcohol and Alcoholism57(1), 125-135.

Mun, E.-Y., & Ray, A. E. (2018). Integrative data analysis from a unifying research synthesis perspective. In H. E. Fitzgerald & L. I. Puttler (Eds.), Alcohol use disorders: A developmental science approach to etiology (pp. 341-353). New York: Oxford University Press.

Mun, E.-Y., Atkins, D. C., & Walters, S. T. (2015). Is motivational interviewing effective at reducing alcohol misuse in young adults? A critical review of Foxcroft et al. (2014). Psychology of Addictive Behaviors, 29(4), 836-846.

Mun, E.-Y., de la Torre, J., Atkins, D. C., White, H. R., Ray, A. E., Kim, S.-Y., Jiao, Y., Clarke, N., Huo, Y., Larimer, M. E., Huh, D., & The Project INTEGRATE Team (2015). Project INTEGRATE: An integrative study of brief alcohol interventions for college students. Psychology of Addictive Behaviors, 29(1), 34-48.

Mun, E.-Y., Jiao, Y., & Xie, M. (2016). Integrative data analysis for research in developmental

psychopathology. In D. Cicchetti (Ed.), Developmental psychopathology (3rd ed., Vol. 1, pp. 1042-1087). New York: Wiley.

Mun, E.-Y., Zhou, Z., Huh, D., Tan, L., Li, D., Tanner-Smith, E. E., Walters, S. T., & Larimer, M. E. (2022). Brief alcohol interventions are effective through six months: Findings from marginalized zero-inated Poisson and negative binomial models in a two-step IPD meta-analysis. Prevention Science.

White, H. R., Jiao, Y., Ray, A. E., Huh, D., Atkins, D. C., Larimer, M. E.,… Mun, E.-Y. (2015). Are there secondary effects on marijuana use from brief alcohol interventions for college students? Journal of Studies on Alcohol and Drugs, 76(3), 367-377.

White, H. R., Anderson, K., Ray, A. E., & Mun, E.-Y. (2016). Do drinking motives distinguish extreme drinking college students from their peers? Addictive Behaviors, 60, 213-218.