Session: Wednesday 9th July AM (09.15 - 12.45)
Title: Using Linked Administrative Data for Research
Convenor:
Professor Peter Smith (University of Southampton)
Abstract Details
Part 1. How to use the Administrative Data Service (9.15-10.45, presentations 1-3):
This session will outline what the administrative data service has to offer, how to get started with an application, and the types of linked data that are available in each of the four UK countries.
Part 2. Methodological challenges in using linked administrative data (11.15-12.45, presentations 4-6):
The session will highlight some of the methodological challenges involved in linking administrative data.
Presentation downloads
Presenter: Chris Dibben
The Administrative Data Research Centre -Scotland
Presenter: Chris Dibben
Linking historical administrative data
Presenter: Harvey Goldstein
Efficient modelling of record linked data
Presenter: Melanie Wright
Introducing the Administrative Data Research Network
The level of the session is: Accessible
Presentation details
There will be a coffee break from 10.45 - 11.15
Presentation 1
Start time: 09:15
Presentation title:Getting started
Author: Dr Melanie Wright (UK Data Service)
Presentation 2
Start time: 09:35
Presentation title:What data are available? Spotlight on data for linkage in the four UK countries
Authors:
Professor Peter Smith (University of Southampton)
Professor Chris Dibben (University of St Andrews)
Presentation 3
Start time: 10:15
Presentation title:Question and answer session: panel consisting of representatives from the ADS and the four ADRCs
Author: Professor Ruth Gilbert (University College London)
Presentation 4
Start time: 11:15
Presentation title:Methods for dealing with linkage error
Author: Professor Harvey Goldstein (University of Bristol)
Presentation 5
Start time: 11:45
Presentation title:Linking cohort studies to administrative data
Author: Professor Lorraine Dearden (Institute for Fiscal Studies)
Presentation 6
Start time: 12:15
Presentation title:Linking historical administrative data
Author: Professor Chris Dibben (University of St Andrews)