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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

BCA808 or (admission to MAppStat or MSc or GradDipAppStat or MActPrac) Prerequisite Information


STAT806 or STAT810 or BCA817

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.
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