Taught by Dr. Ting Ye at the University of Washington (Winter 2025)
In most human studies conducted in the biomedical sciences, the outcome of interest is not observed on all study participants for a variety of reasons, including patient drop-out or resource limitations. The broad goal of survival analysis is to address scientific queries about a time-to-event distribution while appropriately accounting for the data incompleteness that often characterizes biomedical data. This course covers the foundations of survival analysis, with a particular emphasis on topics relevant to epidemiology, public health and medicine. The focus of the course is on nonparametric and semiparametric techniques although common parametric approaches are also discussed. A substantial portion of the course is devoted to the multivariable analysis of survival outcome data, where multiplicative models are emphasized.