PUBH5802 Advanced Analysis of Linked Health Data

Credit
6 points
Offering
(see Timetable)
AvailabilityLocationMode
Non-standard teaching periodUWA (Perth)Face to face
Content
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.
Outcomes
Students are able to (1) possess 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; (2) have skills in the analysis of linked institutional, pharmaceutical and primary care healthcare data; (3) understand 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; (4) perform advanced statistical analyses on dynamic and longitudinal health data, including time series analysis, actuarial survival analysis, Poisson and Cox regression; (5) manipulate multiple large linked data files; and (6) write computing syntax to prepare complex linked data files for analysis, derive exposure and outcome variables, relate numerators and denominators and produce results from advanced statistical procedures.
Assessment
Typically this unit is assessed in the following ways: (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
Prerequisites:
PUBH5785 Introductory Analysis of Linked Health Data (formerly PUBH8785 Introductory Analysis of Linked Health Data)
or
equivalent skills and experience. The computing component of the unit assumes a facile 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.
Contact hours
offered intensively (1 week full-time)
Texts

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

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