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The University of Southampton
Southampton Statistical Sciences Research Institute

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.

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, and official statistics, for charities or the private sector.

Training podcast available here

Further course details can be found here

Course Code ADRCE-training O36 Harron

Course Date 16th May 2017

Places Available 29

Course Leader Katie Harron

Course Description
The course covers:

  • Overview of data linkage (data linkage systems, benefits of data linkage, types of projects)
  • Overview of linkage methods (deterministic and probabilistic)
  • The linkage process (data preparation, blocking, classification)
  • Performing probabilistic linkage
  • Evaluating linkage quality (types of error, analysis of linked data)
  • Reporting analysis of linked data
  • Practical session using LinkPlus

By the end of the course participants will:

  • Understand the background and theory of data linkage methods
  • Perform deterministic and probabilistic linkage
  • Evaluate the success of data linkage
  • Appropriately report analysis based on linked data

Participants will need to bring their own laptops with a Windows operating system (Macs will not work) with Excel, and LinkPlus software (freely available from http://www.cdc.gov/cancer/npcr/tools/registryplus/lp_tech_info.htm )

Supplementary Items

Fees
For UK registered postgraduate students £30 per day
Total £30.00

Fees
For staff at UK academic institutions, Research Council UK funded researchers, UK public sector staff and staff at UK registered charity organisations£60.00
Total £60.00

Fees
For all other participants £200 per day
Total £220.00

Fees
Free place for ADRC/ADRN/ADS staff £0.00

Location
London School of Hygiene & Tropical Medicine

Venue Details
London School of Hygiene & Tropical Medicine (LSHTM), Keppel Street, London WC1E 7HT

http://www.lshtm.ac.uk/aboutus/contact/location.html

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