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 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, and official statistics, for charities or the private sector.
Training podcast available here
Further course details can be found here
ADRCE-training O36 Harron
16th May 2017
The fee per day is:
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 9th May 2017 is strongly recommended.
Katie Harron is a Sir Henry Wellcome Postdoctoral fellow at the London School of Hygiene and Tropical Medicine. Katie is a statistician with research interests in using linkage of administrative data and electronic health records for health research. Her current research involves establishing how nationally representative, population-level administrative data can be used to identify and measure determinants of variation in service use and educational outcomes for children born preterm by linking information on maternal, household and social environments. Katie completed her PhD in Statistics at University College London. She is a co-editor of a Wiley commissioned book “Methodological developments in data linkage” with Prof Harvey Goldstein and Prof Chris Dibben.