Seung Bin Cho
Ph.D from The University of Missouri, 2011
I am interested in applying advanced statistical methods to understand the development of alcohol and other substance use problems. Another interest is in co-occurrence of problems and their relationships. These two aspects - longitudinal change and comorbidity - provide additional dimensions to help understand the problem behaviors. For example, a genetic effect on alcohol use that seems dormant during adolescence may actually works underway to lead some people reaches the problematic level in adulthood. Alcohol use problems may express in different forms, such as conduct problems, during adolescence when alcohol is less accessible. Frequently used methods for longitudinal analyses include the latent curve model, hierarchical linear model, and generalized linear models. Methods for co-occurring problems include factor analysis, latent class analysis, and latent class analysis.
Berenz, E. C.; Cho, S. B.*; Overstreet, C.; Kendler, K. S.; Amstadter, A. B.; Dick, D. M. (2016), Longitudinal investigation of interpersonal trauma exposure and alcohol use trajectories in college students. Addictive Behaviors, 53: 67-73. DOI:10.1016/j.addbeh.2015.09.014
Cho, S. B.; Llaneza, D; Adkins, A. E.; Cooke, M; Kendler, K. S.; Clark, S. L; Dick, D. M. (2015), Patterns of substance use across the first year of college and associated risk factors. Frontiers in Psychiatry, vol. 6. doi: 10.3389/fpsyt.2015.00152
Cho, S. B.; Heron, J.; Aliev, F.; Lewis, G.; Macleod, J.; Hickman, M.; Maughan, B.; Kendler, K. S.; Dick, D. M. (2014), Directional relationships between alcohol use and antisocial behavior across adolescence. Alcoholism: Clinical and Experimental Research, 38: 2024-2033. DOI: 10.1111/acer.12446
Dick, D. M., Cho, S. B., Latendresse, S. J., Aliev, F., Nurnberger, J. I., Edenberg, H. J., Howard, J., Schuckit, M., Hesselbrook, V. M., Bernice, P., Bucholz, K. (2013), Genetic influences on alcohol use across stages of development: GABRA2 and longitudinal trajectories of drunkenness from adolescence to young adulthood. Addiction Biology, 19: 1055-1064. DOI: 10.1111/adb.12066