Publications

Tan, L., Luningham, J. M., Huh, D., Zhou, Z., Tanner-Smith, E. E., Baldwin, S. A., & Mun, E.-Y. (2023). The selection of statistical models for reporting count outcomes and intervention effects in brief alcohol intervention trials: A review and recommendations. Alcohol: Clinical and Experimental Research. Online first available at https://doi.org/10.1111/acer.15232

Zhou, Z., Li, D., Huh, D., Xie, M., & Mun, E.-Y. (2023). A simulation study of the performance of statistical models for count outcomes with excessive zeros. Preprint at https://arxiv.org/abs/2301.12674
• Data and R Code at https://doi.org/10.17632/r5bztdd766.1

Tan, Z., Tanner-Smith, E. E., Walters, S.T., Tan, L., Huh, D., Zhou, Z., Luningham, J.M., Larimer, M.E., & Mun, E.-Y. (2023). Do brief motivational interventions increase motivation for change in drinking among college students? A meta-analysis of individual participant data. Alcohol: Clinical and Experimental Research, Online First available at https://doi.org/10.1111/acer.15126
• Data and R Code at https://doi.org/10.17632/ndzhdv86dg.1

Liang, Q., de la Torre, J., Larimer, M. E., & Mun, E.-Y. (2023). Mental health symptom profiles over time: A three-step latent transition cognitive diagnosis modeling analysis with covariates. In M. Stemmler, W. Wiedermann, & F. Huang (Eds.), Dependent data in social sciences research: Forms, issues, and methods of analysis (2nd ed.). Springer. (in press)
• Data and R Code at https://doi.org/10.17632/kpjp3gnwbt.1
• The PDF file can be accessed here.

Huh, D., Baldwin, S. A, Zhou, Z., Park, J., & Mun, E.-Y. (2023). Which is better for individual participant data meta-analysis of count outcomes with many zeroes, one-step or two-step analysis? A simulation study. Multivariate Behavioral Research. Online first, https://doi.org/10.1080/00273171.2023.2173135
• Interactive Display of Outcomes at https://ipdmeta.shinyapps.io/IPD_Rshiny/
• PsyArXiv, https://doi.org/10.31234/osf.io/bhkry

Tan, L., Friedman, Z., Zhou, Z., Huh, D., White, H. R., & Mun, E.-Y. (2022). Does abstaining from alcohol in high school moderate intervention effects for college students? Implications for tiered intervention strategies. Frontiers in Psychology, 13, 993517. https://doi.org/10.3389/fpsyg.2022.993517  PMCID: PMC9748095
• Data and R Code at https://doi.org/10.17632/vnpw693nnd.1

Bates, M. E., Price, J. L., Leganes-Fonteneau, M., Muzumdar, N., Piersol, K., Frazier, I., & Buckman, J. F. (2022). The process of heart rate variability, resonance at 0.1 hz, and the three baroreflex loops: A tribute to Evgeny Vaschillo. Applied Psychophysiology and Biofeedback, 47, 327-240. https://doi.org/10.1007/s10484-022-09544-4 PMCID: PMC9088144

Walters, S. T., Mun, E.-Y., Tan, Z., Luningham, J. M., Hebert, E., Oliver, J. A., & Businelle, M. S. (2022). Development and preliminary effectiveness of a smartphone-based just-in-time adaptive intervention for adults with alcohol misuse who are experiencing homelessness. Alcoholism: Clinical and Experimental Research, 46, 1732– 1741. https://doi.org/10.1111/acer.14908 PMCID: PMC9509425

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 6 months: Findings from marginalized zero-inflated Poisson and negative binomial models in a two-step IPD meta-analysis. Prevention Science. https://doi.org/10.1007/s11121-022-01420-1 
•Data and R Code at https://doi.org/10.17632/h2sd5y6fxp.1

Tan, Z., de la Torre, J., Ma, W., Huh, D., Larimer, M. E., & Mun, E.-Y. (2022). A tutorial on cognitive diagnosis modeling for characterizing mental health symptom profiles using existing item responses. Prevention Science.  https://doi.org/10.1007/s11121-022-01346-8
•Data and R Code at https://doi.org/10.17632/97bzg6z28h.1

Li, X., Lewis, M. A., Fairlie, A. M., Larimer, M. E., & Mun, E.-Y. (2022). Examining the viewing pattern of web-delivered personalized feedback interventions aimed at reducing alcohol-related risky sexual behavior among young adults. Journal of American College Health. https://doi.org/10.1080/07448481.2022.2098028 PMCID: PMC9839893

Huh, D., Li, X., Zhou, Z., Walters, S. T., Baldwin, S. A., Tan, Z., Larimer, M. E., & Mun, E.-Y. (2022). A structural equation modeling approach to meta-analytic mediation analysis: Testing protective behavioral strategies as a mediator of brief motivational intervention effects on alcohol-related problems. Prevention Science, 23(3), 390-402. https://doi.org/10.1007/s11121-021-01318-4 PMCID: PMC8975788
•Data and R Code at https://doi.org/10.17632/hh64x82s27.1

Mun, E.-Y., Li, X., Lineberry, S., Tan, Z., Huh, D., Walters, S. T., Zhou, Z., & Larimer, M. E. (2022). Do brief alcohol interventions reduce driving after drinking among college students? A two-step meta-analysis of individual participant data. Alcohol and Alcoholism, 57(1), 125-135. http://doi.org/10.1093/alcalc/agaa146 PMCID: PMC8753781
•Data and R Code at http://doi.org/10.17632/j45wkj23c5.1

Li, X., Clarke, N., Kim, S.-Y., Ray, A. E., Walters, S. T., & Mun, E.-Y. (2022). Protective behavioral strategies are more helpful for avoiding alcohol-related problems for college drinkers who drink less. Journal of American College Health, 70(5), 1493-1499. https://doi.org/10.1080/07448481.2020.1807555 PMCID: PMC7917150

Walters, S. T., Businelle, M. S., Suchting, R., Li, X., Hébert, E., & Mun, E.-Y. (2021). Using machine learning to identify predictors of imminent drinking and create tailored messages for at-risk drinkers experiencing homelessness. Journal of Substance Abuse Treatment, 127, 108417. https://doi.org/10.1016/j.jsat.2021.108417 PMCID: PMC8217726  

Zhou, Z., Xie, M., Huh, D., & Mun, E.-Y. (2021). A bias correction method in meta-analysis of randomized clinical trials with no adjustments for zero-inflated outcomes. Statistics in Medicine, 40(26), 5894-5909. https://doi.org/10.1002/sim.9161 PMCID: PMC9040424

Mun, E.-Y., & Geng, F. (2021). An epidemic model for non-first-order transmission kinetics. PLOS ONE, 16(3), e024751. http://doi.org/10.1371/journal.pone.0247512 PMCID:PMC7951879
• The PLOS COVID-19 Pandemic Collection (2019-21): Modelling, Forecasting, and Surveillance
• Data and Python Code at http://doi.org/10.17632/yf2xkjvd4k.1

Mun, E.-Y., Li, X., Businelle, M. S., Hebert, E., Tan, Z., Barnett, N. P., & Walters, S. T. (2021). Ecological momentary assessment of alcohol consumption and its concordance with transdermal alcohol detection and timeline follow-back self-report among adults experiencing homelessness. Alcoholism: Clinical and Experimental Research. http://doi.org/10.1111/acer.14571 PMCID:PMC8252787

Tan, Z., Mun, E.-Y., Nguyen, Uyen-Sa, D. T., & Walters, S. T. (2021). Increases in social support co-occur with decreases in depression and substance use problems among adults in permanent supportive housing: An 18-month longitudinal study. BMC Psychology, 9(1), 1-13. http:/doi.org/10.1186/s40359-020-00507-0 PMCID: PMC7789599

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. https://dx.doi.org/10.4310/SII.2020.v13.n4.a10 PMCID: PMC7497794

Chung, T., Bae, S. W., Mun, E.-Y., Suffoletto, B., Jang, S., & Dey, A. (2020). Mobile assessment of acute effects of marijuana on cognitive functioning in young adults: A pilot study. JMIR mHealth and uHealth, 8(3), e16240. https://doi.org/10.2196/16240 PMCID: PMC7093776

Bates, M. E., Mun, E.-Y., Buckman, J. F., Vaschillo, E., Vaschillo, B., Lehrer, P., Udo, T., & Lesnewich, L. M. (2020). 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. Alcoholism: Clinical and Experimental Research, 44(3), 589-599. https://doi.org/10.1111/acer.14293 PMCID: PMC7079052

Kim, S.-Y., Huh, D., Zhou, Z., & Mun, E.-Y. (2020). A comparison of Bayesian to maximum likelihood estimation for latent growth models in the presence of a binary outcome. International Journal of Behavioral Development, 44(5), 447-457. https://doi.org/10.1177/0165025419894730  PMCID: PMC7497844

Mun, E.-Y., & Geng, F. (2019). Predicting post-experiment fatigue among healthy young adults: Random forest regression analysis. Psychological Test and Assessment Modeling, 61(4), 471-493. PMCID: PMC7007183

Loukas, A., Paddock, E. M., Li, X., Harrell, M. B., Pasch, K. E., & Perry, C. L. (2019). Electronic nicotine delivery systems marketing and initiation among youth and young adults. Pediatrics, 144(3). e20183601  https://doi.org/10.1542/peds.2018-3601  PMCID: PMC6855816

Mun, E.-Y., Huo, Y., White, H. R., Suzuki, S., & de la Torre, J. (2019). Multivariate higher-order IRT model and MCMC algorithm for linking individual participant data from multiple studies. Frontiers in Psychology, 10, 1328. https://doi.org/10.3389/fpsyg.2019.01328 PMCID: PMC6582193

Rendon, A., Mun, E.-Y., Spence-Almaguer, E., & Walters, S. T. (2019). What happens to agreement over time? A longitudinal study of self-reported substance use compared to saliva toxicological testing among subsidized housing residents. Journal of Substance Abuse Treatment, 101, 12-17. https://doi.org/10.1016/j.jsat.2019.03.002  PMCID: PMC6721608

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 Behaviors, 94, 162-170. https://doi.org/10.1016/j.addbeh.2019.01.032 PMCID: PMC698027
• Data and R code at http://dx.doi.org/10.17632/4dw4kn97fz.2

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.  https://doi.org/10.1093/oso/9780190676001.001.0001
• The PDF file can be accessed here.

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. https://doi.org/10.1016/j.addbeh.2016.04.011  PMCID: PMC4884560

Clarke, N., Kim, S.-Y., Ray, A. E., White, H. R., Jiao, Y., & Mun, E.-Y. (2016). The association between protective behavioral strategies and alcohol-related problems: An examination of race and gender differences among college drinkers. Journal of Ethnicity in Substance Abuse, 15(1), 25-45. https://doi.org/10.1080/15332640.2014.1002877 PMCID: PMC4691435

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. https://doi.org/10.1002/9781119125556.devpsy123
• The PDF file can be accessed here.

Anderson, K. G., Sitney, M., & White, H. R. (2015). Marijuana motivations across adolescence: Impacts on use and consequences. Substance Use and Misuse, 50, 292-301. https://doi.org/10.3109/10826084.2014.977396 PMCID: PMC4586128

Huh, D., Kaysen, D. L., & Atkins, D. C. (2015). Modeling cyclical patterns in daily college drinking data with many zeroes. Multivariate Behavioral Research, 50(2), 184-196. https://doi.org/10.1080/00273171.2014.977433 PMCID: PMC4662085

Huh, D., Mun, E.-Y., Larimer, M. E., 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. https://doi.org/10.1111/acer.12714 PMCID: PMC4502982

Huo, Y., de la Torre, J., Mun, E.-Y., Kim, S.-Y., Ray, A. E., Jiao, Y., & White, H. R. (2015). A hierarchical multi-unidimensional IRT approach for analyzing sparse, multi-group data for integrative data analysis. Psychometrika, 80(3), 834-855. https://doi.org/10.1007/s11336-014-9420-2 PMCID: PMC4379139

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. https://doi.org/1037/adb0000100 PMCID: PMC4701621

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. https://doi.org/10.1037/adb0000047 PMCID: PMC4388772

White, H. R., Jiao, Y., Ray, A. E., Huh, D., Atkins, D. C., Larimer, M. E., Fromme, K., Corbin, W. R., Baer, J. S., LaBrie, J. W., & 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. https://doi.org/10.15288/jsad.2015.76.367 PMCID: PMC4440295

Kim, S.-Y. (2014). Determining the number of latent classes in single- and multi-phase growth mixture models. Structural Equation Modeling, 21(2), 263-279. https://doi.org/10.1080/10705511.2014.882690  PMCID: PMC3979564

Kim, S.-Y., Mun, E.-Y., & Smith, S. S. (2014). Using mixture models with known class membership to address incomplete covariance structures in multiple-group growth models. British Journal of Mathematical and Statistical Psychology, 67(1), 94-116. https://doi.org/10.1111/bmsp.12008  PMCID: PMC3864537

Ray, A. E., Stapleton, J. L., Turrisi, R., & Mun, E.-Y. (2014). Drinking game play among 1st-year college student drinkers: An event-specific analysis of the risk for alcohol use and problems. The American Journal of Drug and Alcohol Abuse, 40(5), 353-358. https://doi.org/10.3109/00952990.2014.930151 PMCID: PMC4263026

Ray, A. E., Kim, S.-Y., White, H. R., Larimer, M. E., Mun, E.-Y., Clarke, N., Jiao, Y., Atkins, D. C., Huh, D., & The Project INTEGRATE Team (2014). When less is more and more is less in brief motivational interventions: Characteristics of intervention content and their associations with drinking outcomes. Psychology of Addictive Behaviors, 28, 1026-1040. https://doi.org/10.1037/a0036593 PMCID: PMC4237686

Scaglione, N. M., Turrisi, R., Mallett, K. A., Ray, A. E., Hultgren, B., & Cleveland, M. (2014). How much does one more drink matter? Examining effects of event-level alcohol use and previous sexual victimization on sex-related consequences. Journal of Studies on Alcohol and Drugs, 75, 241- 248. https://doi.org/10.15288/jsad.2014.75.241 PMCID: PMC3965678

White, H. R., & Ray, A. E. (2014). Differential evaluations of alcohol-related consequences among emerging adults. Prevention Science, 15(1), 115-124. https://doi.org/10.1007/s11121-012-0360-8 PMCID: PMC3715555

Anderson, K. G., Briggs, K. E. L., & White, H. R. (2013). Motives to drink or not to drink: Longitudinal relations among personality, motives, and alcohol use across adolescence and early adulthood. Alcoholism: Clinical & Experimental Research, 37, 860–867. https://doi.org/10.1111/acer.12030 PMCID: PMC3620892

Atkins, D. C., Baldwin, S. A., Zheng, C., Gallop, R. J., & Neighbors, C. (2013). A tutorial on count regression and zero-altered count models for longitudinal substance use data. Psychology of Addictive Behaviors, 27(1), 166-177. https://doi.org/10.1037/a0029508 PMCID: PMC3513584

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, 521-531. https://doi.org/10.15288/jsad.2013.74.521 PMCID: PMC3711344

Clarke, N., Mun, E.-Y., Kelly, S., White, H.R., & Lynch, K. (2013). Treatment outcomes of a combined cognitive behavior therapy and pharmacotherapy for a sample of women with and without substance abuse histories on an acute psychiatric unit: do therapeutic alliance and motivation matter? American Journal on Addictions, 22(6), 566-573. https://doi.org/10.1111/j.1521-0391.2013.12013.x PMCID: PMC3989070

Cleveland, M. J., Mallett, K. A., White, H. R., Turrisi, R., & Favero, S. (2013). Patterns of alcohol use and related consequences in non-college-attending emerging adults. Journal of Studies on Alcohol and Drugs, 74, 84-93. https://doi.org/10.15288/jsad.2013.74.84 PMCID: PMC3517266

Eddie, D., Buckman, J. F., Mun, E.-Y., Vaschillo, B., Vaschillo, E., Udo, T., Lehrer, P., & Bates, M. E. (2013). Different associations of alcohol cue reactivity with negative alcohol expectancies in mandated and inpatient samples of young adults. Addictive Behaviors, 38(4), 2040-2043. https://doi.org/10.1016/j.addbeh.2013.01.006 PMCID: PMC4454376

Kim, S.-Y., Suh, Y., Kim, J. S., Albanese, M. A., & Langer, M. M. (2013). Single and multiple ability estimation in the SEM framework: A non-informative Bayesian estimation approach. Multivariate Behavioral Research, 48(4), 563-591. https://doi.org/10.1080/00273171.2013.802647 PMCID: PMC3959725

Lehrer, P., Buckman, J. F., Mun, E.-Y., Vaschillo, E. G., Vaschillo, B., Udo, T., Nguyen, T., & Bates, M. E. (2013). Negative mood and alcohol problems are related to respiratory dynamics in young adults. Applied Psychophysiology and Biofeedback, 38(4), 273-283. https://doi.org/10.1007/s10484-013-9230-9 PMCID: PMC3854952

Mallett, K. A., Varvil-Weld, L., Borsari, B., Read, J. P., Neighbors, C., & White, H. R. (2013). An update of research examining college student alcohol-related consequences: New perspectives and implications for interventions. Alcoholism: Clinical & Experimental Research, 37, 709–716. https://doi.org/10.1111/acer.12031 PMCID: PMC3601564

Udo, T., Mun, E.-Y., Buckman, J., Vaschillo, E. G., Vaschillo, B., & Bates, M. E. (2013). Potential side effects of unhealthy lifestyle choices and health risks on basal and reactive heart rate variability in college drinkers. Journal of Studies on Alcohol and Drugs, 74(5), 787-796. https://doi.org/10.15288/jsad.2013.74.787 PMCID: PMC3749321

Cronley, C., White, H. R., Mun, E.-Y., Lee, C., Finlay, A., & Loeber, R. (2012). Exploring the interaction effect of neighborhood racial composition and individual race on substance use among male adolescents. Journal of Ethnicity in Substance Abuse, 11, 52-74. https://doi.org/10.1080/15332640.2012.652526 PMCID: PMC3311110

Finlay, A. K., White, H. R., Mun, E.-Y., Cronley, C., & Lee, C. (2012). Racial differences in trajectories of heavy drinking and regular marijuana use from ages 13 through 24 among African-American and White males. Drug and Alcohol Dependence, 21, 118-123. https://doi.org/10.1016/j.drugalcdep.2011.08.020 PMCID: PMC3258364

Lee, C., & White, H. R. (2012). The effects of childhood maltreatment on violent injuries and premature death during young adulthood among urban high-risk men. Archives of Pediatrics and Adolescent Medicine, 166, 814-820. https://doi.org/10.1001/archpediatrics.2012.244 PMCID: PMC3587734

Lee, C., Cronley, C., White, H. R., Mun, E.-Y., Stouthamer-Loeber, M., & Loeber, R. (2012). Racial differences in the consequences of childhood maltreatment for adolescent and young adult depression, heavy drinking, and violence. Journal of Adolescent Health, 50, 443-449. https://doi.org/10.1016/j.jadohealth.2011.09.014 PMCID: PMC3336090

Ray, A. E., Stapleton, J., Turrisi, R., & Phillion, E. (2012). Patterns of drinking-related protective and risk behaviors in college student drinkers. Addictive Behaviors, 37, 449-455. https://doi.org/10.1016/j.addbeh.2011.12.005 PMCID: PMC3564211

Ray, S., Mun, E.-Y., Buckman, J. F., Udo, T., & Bates, M. E. (2012). Memory for emotional picture cues during acute alcohol intoxication. Journal of Studies on Alcohol and Drugs, 73, 718-725. https://doi.org/10.15288/jsad.2012.73.718 PMCID: PMC3410939

White, H. R., Fite, P., Pardini, D., Mun, E.-Y., & Loeber, R. (2012). Moderators of the dynamic link between alcohol and aggressive behavior among adolescent males. Journal of Abnormal Child Psychology, 41, 211-222. https://doi.org/10.1007/s10802-012-9673-0 PMCID: PMC3548983

White, H. R., Lee, C., Mun, E.-Y., & Loeber, R. (2012). Developmental patterns of alcohol use in relation to persistence and desistance of serious violent offending among African American and Caucasian young men. Criminology, 50, 391-426. https://doi.org/10.1111/j.1745-9125.2011.00263.x PMCID: PMC3614371

Buckman, J. F., Yusko, D. D., Farris, S. G., White, H. R., & Pandina, R. J. (2011). Risk for marijuana use in male and female college student athletes and non-athletes. Journal of Studies on Alcohol and Drugs, 72, 586-591. https://doi.org/10.15288/jsad.2011.72.586 PMCID: PMC3125882

White, H. R., Marmorstein, N. R., Crews, F. T., Bates, M. E., Mun, E.-Y., & Loeber, R. (2011). Associations between heavy drinking and changes in impulsive behavior among adolescent males. Alcoholism: Clinical & Experimental Research, 35, 295-303. https://doi.org/10.1111/j.1530-0277.2010.01345.x PMCID: PMC3058919