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During this unit, students learn 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 for those who do not experience the event of interest. This unit covers: Kaplan-Meier life tables; logrank test to compare two or more groups; Cox's proportional hazards regression model; checking the proportional hazards assumption; and sample size calculations for survival studies. For each topic, participants are given materials to read beforehand. This is followed by a lecture, then participants are given a small number of exercise to do for the following week. These exercises are discussed in the tutorial at the next session before moving on to the next topic. That is, in most weeks the first hour is a tutorial, followed by the lecture given in the second hour. Participants are expected to run SAS programs in their own time. Preparation time for each session is 2-3 hours. The assignments both involve use of SAS to analyse survival data sets.
Code | PUBH5213 |
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Academic unit | Public Health |
Credit points | 2 |
Prerequisites:
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PUBH5211 |
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Corequisites:
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PUBH5211 |
Prohibitions:
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PUBH5217 |
The learning outcomes for this unit will be available two weeks before the first day of teaching.
Unit outlines will be available 1 week before the first day of teaching for the relevant session.
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