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
19/05/2020 - 20/05/2020
University College London, Institute of Health Informatics, 222 Euston Road, Regents Park, 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 both analysts intending to link data themselves and researchers who want to understand more about the linkage process and its implications for analysis of linked data—particularly the implications of linkage error. 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). 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. Examples will be drawn predominantly from health data but 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 analysts and 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 implementing data linkage or 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.
Recommended preparatory reading
Participants will be required to bring a laptop, preloaded with Excel (or equivalent) and LinkPlus, or be prepared to share (which is encouraged, regardless). Please note that LinkPlus is not compatible with Macs. Participants will receive printed or pdf course slides.
Entry (no or almost no prior knowledge)
The fee per teaching day is:
Website and registration
Longitudinal Research , Quality in Quantitative Research, Data Matching , Data Linkage , Use of Administrative Sources
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