B3002 - Efficient and Transparent Methods for linking and analysing Longitudinal Population Studies and Administrative data - 09/01/2018
B number:
B3002
Principal applicant name:
Katie Harron | UCL Institute of Child Health
Co-applicants:
Andy Boyd, Professor Harvey Goldstein
Title of project:
Efficient and Transparent Methods for linking and analysing Longitudinal Population Studies and Administrative data
Proposal summary:
The Wellcome Trust Longitudinal Population Study (LPS, which includes studies like ALSPAC) Strategy states that research methods are needed to i) underpin efficient linkage of multiple datasets, ii) quantify potential biases resulting from linkage and how this impacts on results, and iii) to handle linkage error in data analyses. Our study aims to maximise the value of LPS by providing improved methods for linkage and analysis, building on previous work in these areas.
Date proposal received:
Monday, 27 November, 2017
Date proposal approved:
Wednesday, 29 November, 2017
Keywords:
Statistics/methodology, Computer simulations/modelling/algorithms, Linkage