Teaching Software Publications Biography About

Dr. Lee Chun Yin

Software


  • PLScure: an R package that performs estimation and inference for right-censored data based with a nonparametric monotone link function for the incidence probability and partly linear Cox regression model for the latency.
    Ref: 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, accepted.
  • RCPsurv: an R package that performs estimation and inference for right-censored data with a random change-point.
    Ref: 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.
  • JointCSsurv: an R package that performs estimation and inference for interval-censored data with informative cluster size based on a joint model framework.
    Ref: 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.
  • rtaCFR: an R package that performs estimation of the real-time fatality rates with adjustment for reporting delay from disease onset to death.
    Ref: 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.
  • ICScure: an R package that performs estimation and inference for current status data with informative cluster size based on a semiparametric transformation cure model.
    Ref: 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.
  • WeibullCMs: an R package that performs estimation and inference for right-censored data based on the fully parametric cure mixture and nonmixture models.