A scaling approach to record linkage.

@article{Goldstein2017ASA,
  title={A scaling approach to record linkage.},
  author={Harvey Goldstein and Katie Harron and Mario Cortina-Borja},
  journal={Statistics in medicine},
  year={2017},
  volume={36 16},
  pages={
          2514-2521
        }
}
With increasing availability of large datasets derived from administrative and other sources, there is an increasing demand for the successful linking of these to provide rich sources of data for further analysis. Variation in the quality of identifiers used to carry out linkage means that existing approaches are often based upon 'probabilistic' models, which are based on a number of assumptions, and can make heavy computational demands. In this paper, we suggest a new approach to classifying… CONTINUE READING

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