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Methods in Action: Data linkage
27 January 2020, 2:00 pm–4:00 pm
In this Methods in Action session, three statisticians will give detailed presentations on their own statistical methodologies related to data linkage.
This event is free.
Event Information
Open to
- All
Cost
- Free
Organiser
-
Network of Applied Statisticians in Health
Location
-
June Lloyd, Ground Floor (PUW 4)UCL Great Ormond Street Institute of Child Health30 Guilford StreetLondonWC1N 1EHUnited Kingdom
Linkage of population-based administrative data is increasingly used to combine individual-level information from different sources. The potential for these data to address questions that involve large populations and long periods is well recognised. However, linked data pose unique challenges, for example concerning bias from linkage errors where records cannot be linked or are linked incorrectly. This session will include three talks that will illustrate these issues and discuss suggested solutions.
Programme
14:00 Dr Katie Harron
Challenges and opportunities in using administrative data linkage for research: the importance of quality assessment for understanding bias
14:40 James Doidge
Quantitative bias analysis to account for errors in linkage: an example linking Down’s Syndrome surveillance data with hospital records
15:30 Max Verfuerden
Assessing linkage bias in pseudonymised data: a case study using infant nutrition trials linked to school records
This Methods in Action session is part of a series organised by UCL's Network of Applied Statisticians in Health.
About the Speakers
Dr Katie Harron
at UCL Great Ormond Street Institute of Child Health
Katie is an Associate Professor in Quantitative Methods at the UCL Great Ormond Street Institute of Child Health. Her methodological research focuses on the development of statistical methods for data linkage, and particularly for evaluating the quality of linkage. She aims to develop methods to maximise the rich data that are collected about populations as we interact with services throughout our lives. Katie’s applied research focuses on exploiting existing data sources to improve services for mothers and families; particularly vulnerable families. She aims to improve our understanding of the health of individuals from birth to young adulthood.
More about Dr Katie HarronJames Doidge
at Intensive Care National Audit & Research Centre (ICNARC)
James has been juggling linked data for the last 9 years, first as a researcher establishing population-level studies of linked administrative data in Australia and the UK, then as a data linker at Public Health England and the Intensive Care National Audit and Research Centre (ICNARC), and through advisory roles with ONS and NHS Digital. James spent much of his postdoctoral years in the Administrative Data Research Centre for England at UCL thinking about how to address the problem of linkage error. In his new role at ICNARC, James is now focusing on the design of efficient clinical trials and observational studies that maximise the use of routinely collected health data.
Max Verfuerden
at UCL Great Ormond Street Institute of Child Health
Max is a third year PhD student at UCL GOS ICH. In her PhD she aims to make the most of existing clinical trial data. Specifically, she is interested in linking old infant formula trials to administrative school records to assess the long-term cognitive effects of various infant formula compositions. Her supervisors are Professors Ruth Gilbert (UCL Great Ormond Street Institute of Child Health), Mary Fewtrell (UCL Great Ormond Street Institute of Child Health) and John Jerrim (IoE).