Training and Events
Introduction to Data Linkage and Analysing Linked Data (join a waiting list)
|NCRM, University of Southampton|
Dr Katie Harron and Dr James Doidge
01/04/2019 - 02/04/2019
UCL, Institute of Health Informatics, 222 Euston Road, London,
View in Google Maps (NW1 2DA)
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:
By the end of the course participants will:
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.
Entry (no or almost no prior knowledge)
The fee per teaching day is:
Website and registration
Quality in Quantitative Research, Data matching , Use of administrative sources , Longitudinal research
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