Useful links
Throughout our lives, information about our health and the care we receive is recorded and stored across various health-related databases, e.g., hospital admissions, cancer registry. Data linkage is a process that brings together information from various different sources about the same individual, family, place, or event. This process creates a chronological sequence of events that can be combined into a much larger story about the health of people, which can be used for research or to improve health services. This unit is suitable for health services researchers, policy makers, clinical practitioners, biostatisticians, and data managers. We explain how data linkage is conducted, illustrate how data linkage can be used for research, while highlighting the advantages, dangers, and pitfalls. We describe how to design linked data studies, outline the data management steps required before analysis, and discuss some of the methods and issues of analysing linked data. Students will have access to data from a real data linkage and will gain hands-on experience developing their programming skills in R for handling large complex datasets.
Study level | Postgraduate |
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Academic unit | Public Health |
Credit points | 6 |
Prerequisites:
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PUBH5010 or CEPI5100 or BSTA5011 |
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Corequisites:
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PUBH5010 or CEPI5100 or BSTA5011 |
Prohibitions:
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None |
Assumed knowledge:
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None |
At the completion of this unit, you should be able to:
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Session | MoA ? | Location | Outline ? |
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Semester 1 2025
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Online | Camperdown / Darlington, Sydney |
Outline unavailable
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