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Survival Analysis - STAT827
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 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: |
BCA808 or Admission to MAppStat or PGDipAppStat or PGCertAppStat |
| Corequisites: | |
| NCCW(s): | |
| Unit Designation(s): | |
| Assessed As: | Graded |
| Offered By: | Department of Statistics Faculty of Science |
Timetable Information
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