Introductory analysis of linked data (Practical)

Course details

This course introduces learners to practical linked data analysis at an introductory to intermediate level. These techniques apply to both health and administrative data. Learners need to have completed Introductory Analysis of Linked Data (Theory) to apply for this course. It fills a gap in research training opportunities by building on theoretical principles with hands-on practical exercises in the implementation of corresponding computing solutions. Students use de-identified linked data files in the hands-on exercises. The computing component of the module assumes a basic familiarity with computing syntax used in programs STATA or R and methods of basic statistical analysis of fixed-format data files.

PLEASE NOTE: We will only have support provision for R and STATA in the practical sessions.

Who should attend?

This course is ideal for health and social care researchers, social scientists, clinical practitioners and health care managers who wish to improve their understanding of working with health-related routine data, and to gain the theory and skills needed to analyse linked health and social data.

Skill areas & competencies

Skill Areas:

• Problem Solving
• Analysis
• Statistical Modelling
• Visualisation

 

Skill Competencies: 

• Data Preparation and Feature Modelling,
• Data Analysis and Model Building

Learning outcomes

By the end of the module, the student will be able to:

1. Perform statistical analyses on linked longitudinal health and social data.

2. Conceptualise and perform the manipulation of large linked data files.

3. Construct syntax to prepare linked data files for analysis, derive exposure and outcome variables, relate numerators and denominators and produce results from statistical procedures.

Transferrable skills

1. Information technology
2. Database management
3. Statistical analysis
4. Information governance
5. Numeracy
6. Select and apply appropriate analysis or assessment techniques and tools.

Course dates

11-15 May 2026

Cost

£756.00

Location

Online

Taught by

Jointly delivered by Professor David Preen from the University of Western Australia and Dr Ting Wang of SAIL Databank, Swansea University