Utilising identifier error variation in linkage of large administrative data sources

Utilising identifier error variation in linkage of large administrative data sources

Abstract Background Linkage of administrative data sources often relies on probabilistic methods using a set of common identifiers (e.g. sex, date of birth, postcode). Variation in data quality on an individual or organisational level (e.g. by hospital) can result in clustering of identifier errors,...

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Bibliographic Details
Main Authors: Katie Harron, Gareth Hagger-Johnson, Ruth Gilbert, Harvey Goldstein
Format: Article
Language:English
Published: BMC 2017-02-01
Series:BMC Medical Research Methodology
Subjects:
Data linkage
Record linkage
Administrative data
Linkage error
Linkage evaluation
Hospital admission
Online Access:http://link.springer.com/article/10.1186/s12874-017-0306-8

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http://link.springer.com/article/10.1186/s12874-017-0306-8

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