Record Linkage Techniques: Exploring and developing data matching methods to create national record linkage infrastructure to support population level research
Access Status
Open access
Authors
Boyd, James Hutchison
Date
2016Supervisor
Prof. James Semmens
Type
Thesis
Award
PhD
Metadata
Show full item recordFaculty
Office of Research and Development
School
Public Health
Collection
Abstract
In a world where the growth in digital information and systems continues to expand, researchers have access to unprecedented amounts of data. These large and complex data reservoirs require creative, innovative and scalable tools to unlock the potential of this ‘big data’. Record linkage is a powerful tool in the ‘big data’ arsenal. This thesis demonstrates the value of national record linkage infrastructure and how this has been achieved for the Australian research community.
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Boyd, James; Randall, Sean; Ferrante, Anna; Bauer, J.; Brown, A.; Semmens, James (2014)Background: Record linkage techniques are widely used to enable health researchers to gain event based longitudinal information for entire populations. The task of record linkage is increasingly being undertaken by ...
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Randall, Sean; Brown, Adrian; Boyd, James; Schnell, R.; Borgs, C.; Ferrante, Anna (2018)© 2018 The Author(s). Background: Record linkage is an important tool for epidemiologists and health planners. Record linkage studies will generally contain some level of residual record linkage error, where individual ...
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Boyd, James; Ferrante, Anna; O'Keefe, C.; Bass, A.; Randall, Sean; Semmens, James (2012)Background: The Centre for Data Linkage (CDL) has been established to enable national and cross-jurisdictional health-related research in Australia. It has been funded through the Population Health Research Network (PHRN), ...