PUBH5785 Introductory Analysis of Linked Health Data

6 points
(see Timetable)
Non-standard teaching periodUWA (Perth)Face to face
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.
Students are able to (1) possess 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; (2) understand 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; (3) understand sources of error in epidemiologic measurement; (4) perform statistical analyses on linked longitudinal health data; (5) conceptualise and perform the manipulation of large linked data files; and (6) write syntax to prepare linked data files for analysis, derive exposure and outcome variables, relate numerators and denominators and produce results from statistical procedures at an introductory to intermediate level.
Indicative assessments in this unit are as follows: (1) a reflective learning journal from laboratory sessions and (2) a take-home assignment exercise. Further information is available in the unit outline.

Supplementary assessment is not available in this unit.
Unit Coordinator(s)
Professor David Preen
Unit rules
Advisable prior study:
Students should be familiar with basic algebraic equations and formulae and be familiar with computing in a Windows environment. Students who have not previously completed an introductory course in epidemiology
biostatistics may wish to familiarise themselves with the basic principles and terms used in the disciplines.
Contact hours
offered intensively (1 week full-time)

Students are provided with comprehensive notes. There is no recommended text.

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