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 sessions: None) |
| Staff Contact(s): | Dr Ken Beath |
| Prerequisites: |
Admission to MRes |
| Corequisites: | |
| NCCW(s): | STAT827 |
| Unit Designation(s): | |
| Unit Type: | |
| 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.