Introductory Analysis of Linked Data - a short course

23-27 June 2014

at: Edward Ford Building, Sydney School of Public Health, The University of Sydney

This 5-day course introduces the topic of the analysis of linked data at an introductory to intermediate level. It acquaints health services researchers, clinical practitioners and managers with the theory and skills needed to analyse linked health data. The modular structure of the course provides participants with a theoretical grounding on each theme, followed by a hands-on practical exercise in our computer lab each day, using de-identified linked NSW data files.

Learning Objectives:

On completion of this course participants will be able to:

  • understand the theory of data linkage methods and features of comprehensive data linkage systems, sufficient to know the sources and limitations of linked health data sets, and in particular those for NSW;
  • apply epidemiological principles to the design of studies using linked data;
  • construct numerators and denominators for the analysis of disease trends and healthcare utilisation and outcomes;
  • assess the accuracy and reliability of data sources;
  • check data linkages and assure the quality of the study process, e.g. consistency of definitiions, missing data;
  • list the issues to be considered when analysing large linked data files;
  • write syntax to prepare linked data files for analysis, derive exposure and outcome variables, relate numerators and denominators and produce results from statistical procedures.

Cost: $3030 incl. GST (to be paid by 6 June 2014)

Discounts are available for groups of 3 or more participants from the same institution or organisation.

For more information click on University of Sydney website