This encompasses continuous-time multistate survival models (MSM) and a microsimulation based on the MSM framework. These models are to estimate natural history parameters - such as sojourn time, sensitivity, age of entry into screen-detectable state, and the effect of covariates, including time-varying covariates, on transition parameters. They also simulate life trajectories to evaluate screening strategies, assessing outcomes including cancer deaths, interval cancers, and overdiagnosis.
Research Team:
Principal Investigator: Nora Pashayan
Co-Investigator: Ardo van den Hout (UCL)
Reseachers: SangYu Lee, Artsiom Hramyka, Zhuang Xu