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Unit of study_

Survival Analysis - BSTA5009

Year - 2020

The aim of this unit is to enable students to analyse data from studies in which individuals are followed up until a particular event occurs, e.g. death, cure, relapse, making use of follow-up data also for those who do not experience the event, with proper attention to underlying assumptions and a major emphasis on the practical interpretation and communication of results. The content covered in this unit includes: Kaplan-Meier life tables; logrank test to compare two or more groups; Cox's proportional hazards regression model; checking the proportional hazards assumption; time-dependent covariates; multiple or recurrent events; sample size calculations for survival studies.

8-12 hours total study time per week

3 x assignments. Assignment 1 (30%) Censoring and Truncation, Survival Summaries, Kaplan-Meier, Simple Cox models. Assignment 2 (40%) Cox Models including interactions and stratification, Model building, diagnostics, predicted survival and cumulative hazard. Assignment 3 (30%) Time-dependent covariates, parametric models, multivariate survival, graphical presentation

Compulsory: Hosmer DW, Lemeshow S, May S. Applied Survival Analysis: Regression Modeling of Time to Event Data, 2nd edition. Wiley Interscience 2008. ISBN 978-0-471-75499-2; Recommended - not compulsory: Cleves M, Gould W, Gutierrez R, Marchenko Y. An Introduction to Survival Analysis Using Stata, 3rd edition. Stata Press 2010. ISBN 978-1-59718-074-0.




Faculty: Medicine and Health

Semester 1

24 Feb 2020

Department/School: Public Health
Study Mode: Online
Census Date: 31 Mar 2020
Unit of study level: Postgraduate
Credit points: 6.0
EFTSL: 0.125
Available for study abroad and exchange: No
Faculty/department permission required? No
More details
Unit of Study coordinator: Associate Professor Patrick Kelly
HECS Band: 2
Courses that offer this unit

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