In this unit, you will learn how to analyse health data using statistical models. In particular, you will learn how to fit and interpret the results of different regression models which are commonly used in medicine and health research for continuous (linear), categorical (logistic) and time-to-event (survival) outcomes. This unit is ideal for those who wish to further develop their research skills and/or improve their statistical literacy in reading and critiquing journal articles in medicine and health. The focus of the unit is on application and interpretation rather than mathematical detail. Students will gain hands on experience in fitting statistical models to real data, and will learn how to clean data, build an appropriate model, and interpret results. This unit serves as a prerequisite for PUBH5218 Advanced Statistical Modelling.
Unit details and rules
Academic unit | Public Health |
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Credit points | 6 |
Prerequisites
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PUBH5018 or FMHU5002 |
Corequisites
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None |
Prohibitions
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(PUBH5211 or PUBH5212 or PUBH5213) |
Assumed knowledge
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None |
Available to study abroad and exchange students | No |
Teaching staff
Coordinator | Kylie-Ann Mallitt, kylie-ann.mallitt@sydney.edu.au |
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Tutor(s) | Kate Milledge, kate.milledge@sydney.edu.au |