Survival Analysis - STAT727
This unit explores biostatistical applications of survival analysis. These begin with the Kaplan-Meier curve definition and its extension to the comparison of survival of several groups of subjects. The Cox proportional hazards model is introduced as a method for handling continuous covariates and parametric accelerated failure-time models are also covered. Time-dependent covariates and multiple outcomes are also considered.
Credit Points: | 4 |
When Offered: | S1 External - Session 1, External (On-campus dates: None) |
Staff Contact(s): | Dr Ken Beath |
Prerequisites: | |
Corequisites: | |
NCCW(s): | STAT827 |
Unit Designation(s): | |
Assessed As: | Graded |
Offered By: | Department of Statistics Faculty of Science and Engineering |
Course structures, including unit offerings, are subject to change.
Need help? Ask us.