My methodological interests have evolved along three inter-related lines: (1) Bayesian methods and statistical computing; (2) longitudinal data analysis and time series analysis; and (3) study design and sample size determination. From a substantive perspective, I am interested in applying quantitative methods in developmental, clinical, cognitive, educational, and health research. Specifically, I focus on developing and applying appropriate Bayesian, longitudinal, and time series models and developing applicable statistical methods for analyzing various complex data and facilitating study design.
Park, I. J. K., Du, H., Wang, L., Williams, D. R., & Alegría, M. (in press). The role of parents’ ethnic-racial socialization practices in the discrimination—depression link among Mexican-origin adolescents. Journal of Clinical Child and Adolescent Psychology.
Enders, C.K., Hayes, T., & Du, H. (in press). A comparison of multilevel imputation schemes for random coefficient models: Fully conditional specification and joint model imputation with random covariance matrices. Multivariate Behavioral Research.
Gao, M. M., Du, H., Davies, P. T., & Cummings, E. Mark. (in press). Marital conflict behaviors and parenting: Dyadic links over time. Family Relations.
Du, H., & Wang, L. (2018). Investigating reliabilities of intraindividualvariability indicators with autocorrelated longitudinal data. Multivariate Behavioral Research, 53(4), 502-520.
Park, I. J. K., Du, H., Wang, L., Williams, D. R., & Alegría, M. (2018). Racial/ethnic discrimination and mental health in Mexican-origin youths and their parents: Testing the “linked lives” hypothesis. Journal of Adolescent Health, 62, 480-487.
Du, H., Liu, F., & Wang, L. (2017). A Bayesian" fill-in" method for correcting for publication bias in meta-analysis. Psychological Methods, 22(4), 799-817.
Planalp, E.M., Du, H., Braungart-Rieker, J.M., & Wang, L. (2017). Growth curve modeling to studying change: A comparison of approaches using longitudinal dyadic data with distinguishable dyads. Structural Equation Modeling, 24(1), 129-147.
Du, H., Zhang, Z., & Yuan, K.-H. (2016). Power analysis for t-test with non-normal data and unequal variancess. In van der Ark, L.A., Culpepper, S., Douglas, J.A., Wang, W.-C., & Wiberg, M. (Eds.), Proceedings of Quantitative Psychology: The 81st Annual Meeting of the psychometric Society. New York, NY: Springer.
Du, H., & Wang, L. (2016). A Bayesian power analysis procedure considering uncertainty in effect size estimates from a meta-analysis. Multivariate Behavioral Research, 51(1), 589-605.
Du, H., & Wang, L. (2016). The impact of the number of dyads on estimation of dyadic data analysis using multilevel modeling. Methodology, 12(1), 21-31.