Course description
Analysis of Linked Health Data
This unit introduces the topic of linked health data analysis at an introductory to intermediate level. It fills a gap in research training opportunities by combining the principles of healthcare epidemiology with hands-on practical exercises in the implementation of computing solutions. The modular structure of the unit provides students with a theoretical grounding in the classroom on each topic, followed by a training session on the corresponding computing solutions. Students use de-identified linked data files in the hands-on exercises. The computing component of the unit assumes a basic familiarity with computing syntax used in programs such as SPSS, SAS, STATA and R and methods of basic statistical analysis of fixed-format data files.
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Upcoming start dates
Suitability - Who should attend?
Prerequisites:Nil
Outcome / Qualification etc.
Credit :6 points
Students are able to
- develop an overview of the theory of data linkage methods and features of comprehensive data linkage systems, sufficient to understand the sources and limitations of linked health data sets;
- apply the principles of epidemiologic measurement and research methods for the conceptualisation and construction of numerators and denominators used in the analysis of disease trends and healthcare utilisation and outcomes;
- identify sources of error in epidemiologic measurement;
- perform statistical analyses on linked longitudinal health data;
- perform the manipulation of large linked data files;
- write syntax to prepare linked data files for analysis,;
- identify exposure and outcome variables for the purposes of linked data analysis ; and
- produce results from statistical procedures at an introductory to intermediate level.
Course delivery details
offered intensively (1 week full-time)
This unit is taught in intensive face-to-face mode over the week 22-26 November 2021. Readings are made available in LMS two weeks prior to the teaching week. It is not possible to audit this unit.