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Advanced theoretical principles of linked data analysis applied to both health and administrative data.
Course details
This course is taught at an intermediate to advanced level and assumes that students have completed both the theoretical and practical modules of the Introductory Analysis of Linked Health Data course or have equivalent knowledge. This module provides students with an advanced theoretical grounding on data linkage.
Who should attend?
Ideal for those who wish to build on a pre-existing theoretical knowledge and skills in the analysis of linked health 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. Critically evaluate the foundation concepts of epidemiology and data analysis
2. Critically appraise the methods for the conceptualisation and construction of valid measures and effect measures of health and social services utilisation and outcomes based on complex, multi-sourced linked data sets
3. Critically evaluate complex longitudinal research designs and how to implement them using multi-sourced linked data sets
Transferrable skills
1. Information technology
2. Database management
3. Statistical analysis
4. Information governance
5. Creative problem solving
6. Information literacy
7. Numeracy
Course dates
Always open, self-guided learning
Fee
£948.00
Location
Online
Taught by
Jointly delivered by Professor David Preen from the University of Western Australia and Dr Ting Wang of Swansea University.
- Self-paced
- Paid course
- Online
- Statement of participation
- Closed for 2026
Taught by
