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Unit of study_
BSTA5009: Survival Analysis
2022 unit information
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.
Unit details and rules
Managing faculty or University school:
Medicine and Health
| Study level | Postgraduate |
|---|---|
| Academic unit | Public Health |
| Credit points | 6 |
|
Prerequisites:
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|
BSTA5008 |
|---|---|
|
Corequisites:
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|
None |
| Prohibitions:
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|
BSTA5211 |
| Assumed knowledge:
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None |
At the completion of this unit, you should be able to:
- LO1. Understand the nature of survival data
- LO2. Summarise and display survival data using nonparametric methods
- LO3. Analyse survival data using the Cox proportional hazards model, including time-dependent covariates
- LO4. Analyse survival data using parametric models
- LO5. Analyse data using multi-event models
- LO6. Determine sample size for simple survival analysis
- LO7. Produce appropriate displays for publication
Unit availability
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Modes of attendance (MoA)
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Important enrolment information
Departmental permission requirements
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