Record Linkage Techniques: Exploring and developing data matching methods to create national record linkage infrastructure to support population level research
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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 ...
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), ...
Brown, A.; Randall, Sean; Ferrante, A.; Semmens, J.; Boyd, J. (2017)Background: Probabilistic record linkage is a process used to bring together person-based records from within the same dataset (de-duplication) or from disparate datasets using pairwise comparisons and matching probabilities. ...