Survival Analysis

3 credits · Undergraduate

(3 hrs Lecture) This course introduces the core concepts and methods for analyzing time-to-event (survival) data obtained from various epidemiological and medical applications. Topics include: an introduction to survival analysis; right censoring and left truncation; life tables, non-parametric estimators (e.g., Kaplan-Meier); Log-rank test; parametric methods for analyzing survival data (e.g., exponential model, Weibull model); semi parametric methods (e.g., Cox proportional hazards model). Requisite Courses: STAT-2612 or MATH-2612 (or the former STAT-3611 or MATH-3611 or STAT-3201 or STAT-2701) [prerequisite(s)].