As a rule, our courses cost £30 a day for UK/EU students and £60 a day for UK/EU academics, researchers or public service staff. Register for the event here.
|This short course is designed to give participants a practical introduction to data linkage and is aimed at researchers either intending to use data linkage themselves or those who want to understand more about the process so that they can analyse linked data. Day 1 (Introduction to Data Linkage) will cover examples of the uses of data linkage, data preparation, and methods for linkage (including deterministic and probabilistic approaches and privacy-preserving linkage). Day 2 (Introduction to Analysing Linked Data) will cover processing of linked data, concepts of linkage error and bias, and handling linkage error in analysis. The main focus of this course will be health data, although the concepts will apply to many other areas. This course includes a mixture of lectures and practical sessions that will enable participants to put theory into practice.
The course covers:
- Overview of data linkage (data linkage systems, benefits of data linkage, types of projects)
- Overview of linkage methods (deterministic and probabilistic, privacy-preserving)
- The linkage process (data preparation, blocking, classification)
- Classifying linkage designs
- Evaluating linkage quality and bias (types of error, analysis of linked data)
- Reporting analysis of linked data
- Practical sessions
By the end of the course participants will:
- Understand the background and theory of data linkage methods
- Perform deterministic and probabilistic linkage
- Evaluate the success of data linkage
- Appropriately report analysis based on linked data
The course is aimed at researchers who need to gain an understanding of data linkage techniques and of how to analyse linked data. The course provides an introduction to data linkage theory and methods for those who might be using linked data in their own work. Participants may be academic researchers in the social and health sciences or may work in government, survey agencies, official statistics, for charities or the private sector.
The course does not assume any prior knowledge of data linkage. Some experience of using Excel or other software will be useful for the practical session.