Course number: ADRCE-training005 Harron
Summary of Course:
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 and examples from the Social Sciences will be discussed too. This course includes a practical example involving data to be linked, to enable participants to put the learned methods into practice.
Course Objectives:
On completing the course, participants will
Course Content:
Target Audience:
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.
Pre-requisites:
The course does not assume any prior knowledge of data linkage.
Course Materials:
Participants will receive written course notes, tutorials and computing lab material.
The Instructor:
Katie Harron is a research associate at the UCL Institute of Child Health. Her research involves exploiting existing data for research, and in particular the evaluation of data linkage methods for linking electronic health records for analysing infection rates in paediatric intensive care.
Thanks to continued ESRC funding we are able to offer this course at reduced rates as follows:
The course fee includes course materials, lunches and morning and afternoon refreshments. Travel and accommodation are to be arranged and paid for by the participant.
Course places are limited and early registration is strongly recommended.
Location and Accommodation:
The course will be held at:Southampton Statistical Sciences Research Institute, Building 39, University of Southampton, Highfield Campus, Southampton, SO17 1BJ.
Participants should make their own travel and accommodation arrangements.
Further information on local accommodation and course location is available here.
Duration:
The course will start with registration and coffee at 9.45 with formal teaching starting at 10am and finishing at 3.45pm. Afterwards there will be an opportunity for participants to ask questions about the course and to discuss with the instructor how to link their own datasets (you can bring your own data to the course if you wish).