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This unit of study is intended for students who have completed CEPI5100 Introduction to Clinical Epidemiology or PUBH5010 Epidemiology Methods and Uses as well as an introductory biostatistics units (FMUH5002, PUBH5018 or BSTA5002). In addition, students are required to complete PUBH5217 or BSTA5210 as a co-requisite if they have not already completed these units of study. It is designed to extend students' methodological skills to a more advanced level in the design and analysis of research studies using real-world data. The unit will provide a firm grounding in causal inference methods incorporating how to use the target trial approach and how to construct directed acyclic graphs for improved analysis of observational data. Finally, the unit will incorporate teaching on prognosis research methods which will provide students with an understanding of how to interpret and design high quality prognostic factor research, contemporary approaches to building prognostic models and the application of prognostic models to personalised or stratified medicine.
Study level | Postgraduate |
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Academic unit | Public Health |
Credit points | 6 |
Prerequisites:
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(CEPI5100 or PUBH5010) and (FMHU5002 or PUBH5018 or BSTA5002) |
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Corequisites:
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PUBH5217 or BSTA5210 |
Prohibitions:
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None |
Assumed knowledge:
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None |
The learning outcomes for this unit will be available two weeks before the first day of teaching.
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
Session | MoA ? | Location | Outline ? |
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Semester 2 2025
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Block mode | Camperdown / Darlington, Sydney |
Outline unavailable
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