Yun-Hee Choi, PhD


Associate Professor

P: 519.661.2111 ext: 86256
F: 519.661.3766


  • Department of Epidemiology and Biostatistics 

Research Cluster Membership

Research Interests

  • Joint modeling and dynamic prediction
  • Correlated survival data analysis
  • Statistical genetics
  • Multistate and competing risks modeling


  • BSc Statistics
  • MA Statistics
  • PhD Biostatistics

Recent Research Grants

  • Statistical methods for joint modeling and dynamic predictions for correlated data (NSERC, 2019-2024)
  • Extending risk prediction models for hereditary breast ovarian cancer (HBOC) (CIHR, 2019-2023, Co-PI)
  • Statistical methods for the analysis of genetic data with survival outcomes (CANSSI, 2019-2022, Co-I)
  • Statistical Methodologies for Competing Risks  (NSERC, 2014-2019)
  • Development, Application and Evaluation of Multistate Models for Risk Estimation and Screening Interventions in Lynch Syndrome Families and Familial Colorectal Cancer Type X Families (CIHR, Co-PI, 2013-2016)
  • Evaluation of screening and treatment interventions among members of breast cancer BRCA1/2 mutation positive families  (CBCF-Ontario Chapter, Co-PI, 2014-2017)
  • Modelling Correlated Survival Data (NSERC; 2009-2014)

Publications (selected)

  • Choi, Y.-H., Jacqmin-Gadda, H., Krol*, A., Parfrey, P., Briollais, L., Rondeau, V. (2019) Joint Nested Frailty Models for Clustered Recurrent and Terminal Events: An Application to Colonoscopy Screening Visits and Colorectal Cancer Risks in Lynch Syndrome Families, Statistical Methods in Medical ResearchIn press.

  • Choi, Y.-H., Lakhal-Chaieb, L., Krol*, A., Yu*, B., Buchanan, D., Ahnen, D., Le Marchand, L., Newcomb, P.A., Win, A.K., Jenkins, M., Briollais, L. (2019) Comparison of Risks of Colorectal Cancer and Cancer-related Mortality between Familial Colorectal Cancer Type X and Lynch Syndrome Families, Journal of the National CancerInstitute 111(7):djy159, doi: 10.1093/jnci/djy159.

  • Choi, Y.-H., Briollais, L., He, W., Kopciuk, K. (2019). FamEvent: An R Package for Generating and Modeling Time-to-Event Data in Family Designs. Journal of Statistical Software, Accepted.

  • Choi, Y.-H., Briollais, L., Win, A.K., Hopper, J., Buchanan, D., Jenkins, M., Lakhal-Chaieb, L. (2017) Modelling of Successive Cancer Risks in Lynch Syndrome Families in the Presence of Competing Risks using Copulas, Biometrics 73(1), 271-282.

  • Choi, Y.-H. and Matthews, D. E. (2015) Diagnostic Tools for Bivariate Accelerated Life Regression Models, Lifetime Data Analysis 21(3), 434-456.
  • Choi, Y.-H., Briolllais, L., Green, J. Parfrey, P. and Kopciuk, K. (2014). Estimating Successive Cancer Risk in Lynch Syndrome Families using a Progressive Three-state Model, Statistics in Medicine 33 (4), 618-638
  • Choi, Y.-H. (2012). A Frailty-Model-based Method for Estimating Age-dependent Penetrance from Family Data, Journal of Biometrics and Biostatistics, doi: 10.4172/2155-6180. S4-001.
  • Choi, Y.-H. and Briollais, L. (2011). An EM Composite Likelihood Approach for Multistage Sampling of Family Data, Statistica Sinica 21, 231–253.
  • Choi, Y.-H., Kopciuk, K. and Briollais, L. (2008). Estimating the Lifetime Risk Associated with Mutated Genes Involved in Complex Diseases. Human Herredity, 66, 238-251.
  • Choi, Y.-H., G.Y. Yi, and D.E. Matthews (2006). A Simulation-Extrapolation Method for Bivariate Survival Data with Covariates Subject to Measurement Error. Journal of Applied Probability & Statistics, 1, 49-66.
  • Choi, Y.-H., and D.E. Matthews (2005). Accelerated Life Regression Modelling of Dependent Bivariate Time-to-Event Data. Canadian Journal of Statistics, 33, 449-464.