Survival Analysis
Statistics · 3 hrs Lecture
Offering schedule: contact department
The calendar doesn't say which term this runs in. The sections below show the terms it actually runs in this year.
STAT-4102 prerequisites
13 courses appear in this chain, up to 4 levels deep. Every route through it involves a choice, so nothing is forced.
Part of this course's requisite text couldn't be parsed into structure, so the chain below may be incomplete. The full wording is under “Requisite courses”.
Show the chainHide the chain
any one of
the former STAT-3611
Add your completed courses to see which of these you've already done and what you could take next. They stay on this device.
Where STAT-4102 counts
Counts toward 1 more as one option among several, not as a course you must take:
- STAT 3-YEAR BA/BSc IN STATISTICS
Read from the departments' own calendar pages, where 71 of 141 programs are only partly machine-readable, so treat these as a minimum rather than the full list. Confirm with an academic advisor.
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.