Statistical Journal Articles:
Kim, E.A., Chung, H., & Jeon, S. (2020) Joint latent class analysis for longitudinal data: an application on adolescent emotional well-being, Communications for Statistical Applications and Methods, 27, 241-254.
Lee, J.W. & Chung, H. (2020) A multivariate latent class profile analysis for longitudinal data with a latent group variable. Communications for Statistical Applications and Methods, 27, 15-35.
Lee, M. & Chung, H. (2017) Latent causal inference using the propensity score from latent class regression model. The Korean Journal of Applied Statistics, 30, 615-632.
Jeon, S., Lee, J., Anthony, J.C., & Chung, H. (2017) Latent class analysis for multiple discrete latent variables: A study on the association between violent behavior and drug-using behaviors. Structural Equation Modeling: A Multidisciplinary Journal, 24, 911-925.
Lee, J.W. & Chung, H. (2017) Latent class analysis with multiple latent group variables. Communications for Statistical Applications and Methods, 24, 173-191.
Chang, H.-C., Chung, H., Tao, M., Luo, Z., & Holtrop, J.S. (2016) A comparison of care management delivery models on the trajectories of medical costs among patients with chronic diseases: 4-year follow-up results. Health Services and Outcome Research Methodology, 16, 234-255.
Choi, H. & Chung, H. (2016) The inference and estimation for latent discrete outcomes with a small sample. Communications for Statistical Applications and Methods, 23, 131-146.
Park, G. & Chung, H. (2014) Estimating average causal effect in latent class analysis. Korean Journal of Applied Statistics, 20, 1077-1095.
Chang, H.-C. & Chung, H. (2013) Dealing with multiple local modalities in latent class profile analysis. Computational Statistics and Data Analysis, 68, 296–310.
Chung, H. & Chang, H.-C. (2012) Bayesian approaches to the model selection problem in the analysis of latent stage-sequential process. Computational Statistics and Data Analysis, 56, 4097–4110.