Research at FAST

89 Department of Applied Mathematics Department of Applied Mathematics Representative Publications • Lee, C. Y. , Wong, K. Y., Lam, K. F., and Xu, J. ( 2020 ). Analysis of clustered interval-censored data using a class of semiparametric partly linear frailty transformation models. Biometrics, URL :https://doi.org/10.1111/biom.13399 • Lee, C. Y. , and Lam, K. F. ( 2020 ). Survival analysis with change-points in covariate effects. Statistical Methods in Medical Research, 29(11), 3235-3248 • Lee, C. Y. , Chen, X., and Lam, K. F. ( 2020 ). Testing for change-point in the covariate effects based on the Cox regression model. Statistics in Medicine, 39(10), 1473-1488 • Lee, C. Y. , Tung, K. T. S., Li, T. M., Ho, F. K. W., Ip, P., Wong, W. H. S., and Chow, C. B. ( 2017 ). Fall-related attendance and associated hospitalisation of children and adolescents in Hong Kong: a 12-year retrospective study. BMJ open, 7(2), e013724 Dr LEE Chun Yin Research Assistant Professor Research Overview Dr Lee received his PhD degree in Statistics from the University of Hong Kong in 2020. His thesis focused on modeling nonlinear covariate effects in the regression analysis of lifetime data. In particular, he conducted some research work for testing for the presence of change-points in the covariate effects in the framework of right-censoring. The work is applied to study the survival rates and prognosis of patients with breast cancer and primary biliary cholangitis. Dr Lee’s current research interests include change-point models, cure rate models, transformation models, nonparametric estimation, multivariate analysis and survival analysis, and their applications to clinical trials and epidemiological data. He is recently interested in working on the analysis of interval-censored data based on the modern empirical process theory and nonparametric methods, such as the approximation using polynomial splines and piecewise linear functions. He is also involved in a project on developing a statistical test to compare real-time fatality rates among different sub-groups during an epidemic of an infectious disease, such as the COVID19. Qualification BSc (HKU) PhD (HKU) ORCID ID 0000-0002-7207-2519