Assessing the accuracy of record matching algorithms in data linkage

Haque, Shovanur S. (2018) Assessing the accuracy of record matching algorithms in data linkage. PhD thesis, Queensland University of Technology.

Description

This thesis developed a Markov Chain based Monte Carlo (MaCSim) simulation approach, implemented in the R software, for assessing the accuracy of a linked file and illustrates the utility of the approach using the ABS (Australian Bureau of Statistics) synthetic data in realistic data settings. MaCSim, can be used either to assess a linking method or to compare multiple linking methods. The accuracy results using MaCSim can inform decisions on a preferred linking method or whether records are linkable at all. This will prove extremely important in applying analysis techniques which can adequately account for the errors associated with linkage.

Impact and interest:

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ID Code: 123042
Item Type: QUT Thesis (PhD)
Supervisor: Mengersen, Kerrie & McGree, James
Keywords: Record linkage, Data linkage, Markov chain, Markov chain Monte Carlo, Simulation algorithm, Linking process, Accuracy, cut-off value, Similarity weight, Block size
DOI: 10.5204/thesis.eprints.123042
Divisions: Past > QUT Faculties & Divisions > Science & Engineering Faculty
Current > Schools > School of Mathematical Sciences
Institution: Queensland University of Technology
Deposited On: 29 Nov 2018 15:11
Last Modified: 16 Jan 2025 00:53