Dr LEE Chun Yin, James

1. Change Point Models
2. Clustered Data Analysis
3. Functional Data Analysis
4. Latent Factor Models
5. Semiparametric Analysis
6. Survival Analysis

……….Journal Articles……….

1. Zhang, H., Qu, Y., Wong, K. Y., and Lee, C. Y.* (2026). Bayesian analysis of Cox-type regression model with partly linear covariate effects via reversible jump Markov chain Monte Carlo. Statistics and Computing, DOI: 10.1007/s11222-025-10818-0
2. Lee, C. Y., Shi, H., Ma, D., Beg, M. F., and Cao, J. (2025). Identification of regions of interest in neuroimaging data with irregular boundaries based on semiparametric transformation models and interval-censored outcomes. Statistics in Medicine, DOI: 10.1002/sim.70309
3. Feng, J., Wong, K. Y., and Lee, C. Y.*. (2024). A semiparametric two-sample density ratio model with a change point. Biometrical Journal, 66(8), DOI: 10.1002/bimj.202300214.
4. Qu Y. and Lee, C. Y.*(2024). Estimation of standardized real time fatality rate for ongoing epidemics. PLoS One, DOI: 10.1371/journal.pone.0303861.
5. Lee, C. Y., Wong, K. Y., and Bandyopadhyay, D. (2024). Partly-linear single-index cure models with a nonparametric incidence link function. Statistical Methods in Medical Research, DOI: 10.1177/09622802241227960.
6. Lee, C. Y., and Wong, K. Y. (2023). Survival analysis with a random change-point. Statistical Methods in Medical Research, 32(11), 2083-2095. DOI: 10.1177/09622802231192946.
7. Lee, C. Y., Wong, K. Y., Lam, K. F., and Bandyopadhyay, D. (2023). A semiparametric joint model for cluster size and subunit-specific interval-censored outcomes. Biometrics, 79(3), 2010-2022, DOI: 10.1111/biom.13795.
8. Qu, Y., Lee, C. Y., and Lam, K. F. (2022). A novel method to monitor COVID-19 fatality rate in real-time, a key metric to guide public health policy. Scientific Reports, 12(1), 18277, DOI: 10.1038/s41598-022-23138-4.
9. Lee, C. Y., Wong, K. Y., Lam, K. F., and Xu, J. (2022). Analysis of clustered interval‐censored data using a class of semiparametric partly linear frailty transformation models. Biometrics, 78(1), 165-178. DOI: 10.1111/biom.13399.
10. Qu, Y., Lee, C. Y., and Lam, K. F. (2022). A sequential test to compare the real-time fatality rates of a disease among multiple groups with an application to COVID-19 data. Statistical Methods in Medical Research, 31(2), 348-360. DOI: 10.1177/09622802211061927.
11. Lee, C. Y.* (2021) Nested logistic regression models and ΔAUC applications: Change-point analysis. Statistical Methods in Medical Research, 30(7), 1654-1666. DOI: 10.1177/09622802211022377.
12. Lam, K. F., Lee, C. Y., Wong, K. Y., and Bandyopadhyay, D. (2021). Marginal analysis of current status data with informative cluster size using a class of semiparametric transformation cure models. Statistics in Medicine, 40(10), 2400-2412. DOI: 10.1002/sim.8910.
13. 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. DOI: 10.1177/0962280220922258.
14. 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. DOI: 10.1002/sim.8491.

1. Invited Talk, “Identification of regions of interest in neuroimaging data with irregular boundary based on semiparametric transformation models and interval-censored outcomes”, Lifetime Data Science Conference, New York, United States, 2025.
2. Invited Talk, “Survival Analysis with a Random Change-Point”, The 7th International Conference on Econometrics and Statistics, Beijing, China, 2024.
3. Invited Talk, “Survival Analysis with a Random Change-Point”, IMS Asia Pacific Rim Meeting, Melbourne, Australia, 2024.
4. Contributed Talk, “Survival Analysis with a Random Change-Point”, Joint Statistical Meetings, Toronto, Canada, 2023.
5. Invited Talk, “A Semiparametric Joint Model for Cluster Size and Subunit-Specific Interval-Censored Outcomes”, The 12th ICSA International Conference, Hong Kong, China, 2023.
6. Contributed Talk, “Testing for Change-Point in the Covariate Effects based on the Cox Proportional Hazards Model”, 32nd European Meeting of Statisticians, Palermo, Italy, 2019.

1. General Research Fund (Research Grants Council of Hong Kong), PI, Survival Analysis with Longitudinal Neuroimaging Data, Project Number: 15301124, Funding Level: 560,317 HKD, 01/01/2025 – 31/12/2027.
2. PolyU Start-Up Fund (Internal), PI, Semiparametric Analysis for Interval-Censored Data Based on the Partly Linear Transformation Models, Funding Level: 250,000 HKD, 01/05/2021 – 31/07/2024.

1. The Best Teaching Assistant Award, Department of Statistics and Actuarial Science, HKU, 2017.
2. Pilot Scheme on International Experience for RPg students, Faculty of Science, HKU, 2017.
3. Excellent Teaching Assistant Award, Department of Statistics and Actuarial Science, HKU, 2016.

Referee for Biometrics, BMC Medical Research Methodology, BMC Medicine, Journal of the Royal Statistical Society: Series C, Journal of Statistical Planning and Inference, Lifetime Data Analysis, Pharmaceutical Statistics, Scientific Reports, Stat, Statistics and its Interface, Statistics and Probability Letters, Statistics in Medicine, Statistical Methods in Medical Research.