Course description
Advanced Analysis of Linked Health Data
This unit is taught at an intermediate to advanced level and assumes that students have completed PUBH5785 Introductory Analysis of Linked Health Data (formerly PUBH8785 Introductory Analysis of Linked Health Data) or have equivalent knowledge. Advanced principles of healthcare epidemiology are combined with hands-on practical exercises in the implementation of computing solutions. The modular structure of the unit provides students with a theoretical grounding on each topic, followed by a training session on the corresponding computing solutions. Students use de-identified data files in the hands-on exercises. The computing component of the unit assumes a basic competence in the preparation of computing syntax for programs such as SPSS, SAS or STATA and familiarity with the statistical analysis of linked data files at an introductory to intermediate level.
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Upcoming start dates
Suitability - Who should attend?
Prerequisites:PUBH5785 Introductory Analysis of Linked Health Data (ID 3940) (formerly PUBH8785 Introductory Analysis of Linked Health Data) or equivalent skills and experience.
Outcome / Qualification etc.
Credit :6 points
Students are able to
- develop an advanced understanding of the principles of epidemiologic measurement and research methods for the conceptualisation and construction of measures of healthcare utilisation and outcomes based on complex, multi-sourced linked data sets;
- apply skills in the analysis of linked institutional, pharmaceutical and primary care healthcare data;
- identify sources of error in epidemiologic measurement, the difference between confounding and effect modification, and advanced research methods, including regression models used in risk adjustment in health services research;
- perform advanced statistical analyses on dynamic and longitudinal health data, including time series analysis, actuarial survival analysis, Poisson and Cox regression;
- perform the manipulation of multiple large linked data files;
- write computing syntax to prepare complex linked data files for analysis,;
- classify exposure and outcome variables for the purposes of linked data analysis; and
- produce detailed results from advanced statistical procedures.
Course delivery details
offered intensively (1 week full-time)
This is an advanced unit in analysis of linked health data and is taught every second year in even years.