Toronto, Ontario


Note: An underscored author name indicates our biostatistics student. Students or alumni who would like to advertise a recent submitted or published paper are welcome to use the following form.


  • Feng, S. X., & Mitani, A. A., 2024. Marginal clustered multistate models for longitudinal progressive processes with informative cluster size. Statistical Analysis and Data Mining: The ASA Data Science Journal, 17(2), e11668.
  • Li, L., Jalal, H., Heath, A., 2024. A Nonparametric Approach for Estimating the Effective Sample Size in Gaussian Approximation of Expected Value of Sample Information. arXiv preprint arXiv:2401.16660
  • Li, L., Jalal, H., Heath, A., 2024. Estimating the EVSI with Gaussian Approximations and Spline-Based Series Methods. arXiv preprint arXiv:2401.17393
  • Bian, Y., Yi, G.Y., He, W., 2024. A unified framework of analyzing missing data and variable selection using regularized likelihood. Computational Statistics and Data Analysis, 194(6), Article 107919.


  • Yang, M., Matan-Lithwick, S., Wang, Y., De Jager, P.L., Bennett, D.A., Felsky, D., 2023. Multi-omic integration via similarity network fusion to detect molecular subtypes of ageing. Brain Communications, Volume 5, Issue 2.


  • Li, L., Plint, A. and Heath, A., 2022. Generating High-Utility Synthetic Clinical Trial Data Using Non-Parametric Data-Augmented Multiple Imputation. Journal of the Royal Statistical Society: Series C (Under review)