Introduction to Data Linkage
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 to analyse linked data. Examples of the uses of data linkage, data preparation, methods for linkage (including deterministic and probabilistic approaches) and issues for the analysis of linked data are covered. The main focus of this course will be health data, although the concepts will apply to many other areas. This course includes a practical example involving data to be linked, to enable participants to put theory into practice.
The course is aimed at researchers who need to gain an understanding of data linkage techniques. 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.
Further course details can be found here.
More information regarding our courses can be found here.
Podcast for some of our previous courses can be found here.
ADRCE-training O46 Harron
5th September 2017
Dr Katie Harron
Location: The Graduate School, Queen's University Belfast, University Road, Belfast, BT7 1NN
The fee per day is:
Our courses are very popular and are often oversubscribed. If you cannot attend a course you have registered for, it is essential to kindly notify us a minimum of 30 days in advance so that your place can be released for another attendee. Details of our cancellation policy are here. Please see our full course list here.
All fees include event materials, lunch, morning and afternoon tea. They do not include travel and accommodation costs.
Course places are limited and registration by 29th August 2017 is strongly recommended.
All fees include event materials, light lunch, morning and afternoon refreshments. They do not include travel and accommodation costs.