Introductory Analysis of Linked Data

Introductory Analysis of Linked Data

Tuesday, January 23, 2018

Introductory Analysis of Linked Data - The University of Sydney

This 5-day short 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.

The course is suitable for people with no previous experience in the analysis of linked health data. However, it does assume familiarity with introductory statistical and epidemiological methods, as taught, for example, in a Master of Public Health degree course. The computing component of the unit also assumes a basic familiarity with computing syntax used in SAS and methods of basic statistical analysis of fixed-format data files. Participants must have this assumed knowledge.

Semester 1: Monday 25 June – Friday 29 June 2018

Semester 2: Monday 12 November – Friday 16 November 2018

Applications for the June short course must submitted by Friday 8 June 2018, and for the November short course by Friday 26 October 2018. Places are strictly limited so book early to avoid disappointment.

Please email the Application Form to: sph.bsta@sydney.edu.au. Your application will then be assessed; If approved, you will be emailed a link to make an online payment; Once payment has been received, your place in the course is secure. The 2018 fee for the short course is approximately $3,800 including GST.

 

 

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Our network remains open. The network is interoperable and can source expertise, technology and data from around the country. Our expert staff are highly qualified and experienced in linkage of patient data, including population-based administrative data (such as hospital admissions, notifiable diseases and death data) as well as linkage of research cohort data. In addition, we provide secure file transfer and secure remote access services. We are able to work with other NCRIS capabilities to deliver coordinated access to national research infrastructure.

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