Survival Analysis
Statistics · 3 hrs Lecture
Offering schedule: contact department
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STAT-4102 prerequisites
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Description
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)].
From the 2026-27 undergraduate calendar. Always verify details on WebAdvisor or with an academic advisor before registering.