STAT827: Survival Analysis
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 |
| Contact Hours: | -- |
| When Offered: | X1 - External study; Offered in the first half-year (On Campus session: No session) |
| Staff Contact: | Dr Ken Beath |
| Prerequisites: | |
| Corequisites: | STAT810 or STAT371 or (BCA808 and BCA817) |
| NCCWs: | |
| Unit Designations: | Commerce |
| Assessed As: | Graded |
| Offered By: |
Department of Statistics Faculty of Science |