Dynamic Prediction of Tooth Loss Using Landmarking Models with Clustered Survival Data
Jan 2025–Jun 2026
Hanlong Chen†, Malcolm Binns, Xinyang Feng, Aya Mitani
Master’s thesis · Dalla Lana School of Public Health, University of Toronto · Supervisor: Dr. Aya Mitani
Landmark models with shared frailty and hierarchical Gaussian-process longitudinal prediction for tooth-level survival, evaluated using within- and between-cluster AUC and Brier scores in simulation and electronic dental records.
Thesis defended · manuscript under internal review
Assessing the Reliability of Electronic Dental Records Through Agreement of Probing Pocket Depths Measured Between Two Closely Conducted Periodontal Exams
Apr 2025–Aug 2026
Aya Mitani†, Hanlong Chen, Yuning Wang, Christopher McCulloch
Dalla Lana School of Public Health, University of Toronto · Supervisor: Dr. Aya Mitani
Agreement of probing pocket depths between two closely conducted periodontal exams, modelled with cumulative link mixed models with multi-level random effects and summarized by integral-based agreement and kappa statistics with delta-method variance.
Under review
Multiple Imputation of Missing Laboratory Values for Longitudinal Patient Clustering in Electronic Medical Records: Framework Development and Evaluation Study
Apr 2025–present
Hanlong Chen†, Bruce Liu, Aya Mitani, Karim Keshavjee, Aziz Guergachi, Felipe Cepeda, Camellia Zakaria
SensAI Labs, University of Toronto · CPCSSN · Supervisors: Dr. Camellia Zakaria and Dr. Aya Mitani
A framework combining multiple imputation, mixed-effects trajectory modelling, and consensus clustering to study how imputation choices affect longitudinal patient phenotypes and uncertainty in cluster assignment.
Manuscript under internal review
Assessment Age and Cognitive Heterogeneity Beyond Severity and Subtype Labels in Memory-Clinic Dementia
Oct 2024–present
Hanlong Chen∗,†, Ian Zhang∗, Bruna Seixas-Lima, Howard Chertkow, …, Malcolm Binns
Rotman Research Institute, Baycrest · Supervisor: Dr. Malcolm Binns
Latent-variable models and subtype analysis to distinguish general cognitive severity from age-related cognitive profiles in memory-clinic patients with dementia.
Manuscript under internal review
Redundancy-Aware Model Assessment for Component and Cluster Selection in Clinical Subtype Discovery
Oct 2024–present
Ian Zhang∗,†, Hanlong Chen∗, …, Malcolm Binns
Rotman Research Institute, Baycrest · Supervisor: Dr. Malcolm Binns
RAMA jointly selects the number of principal components and clusters while downweighting redundant validation metrics for clinical subtype discovery.
Manuscript in preparation
Bayesian Approach for Modelling Inverse Gaussian Observations From a Completely Randomized Design
Sep 2023–May 2024
Department of Statistical Sciences, University of Toronto · Supervisor: Dr. Murari Singh
Jeffreys and GIG-based priors for the coefficient of variation, with Gibbs sampling in OpenBUGS and R.
Undergraduate reading course · completed
COVID-19 Epidemiologic Data Analysis
Summers 2021 & 2023
Guangzhou Center for Disease Control and Prevention
Surveillance data cleaning and analysis of vaccination impact for outbreak response.
Completed