Results from simulated data sets: probabilistic record linkage outperforms deterministic record linkage.

@article{Tromp2011ResultsFS,
  title={Results from simulated data sets: probabilistic record linkage outperforms deterministic record linkage.},
  author={Miranda Tromp and Anita C. J. Ravelli and Gouke J. Bonsel and Arie Hasman and Johannes B. Reitsma},
  journal={Journal of clinical epidemiology},
  year={2011},
  volume={64 5},
  pages={
          565-72
        }
}
  • Miranda Tromp, Anita C. J. Ravelli, +2 authors Johannes B. Reitsma
  • Published 2011
  • Medicine
  • Journal of clinical epidemiology
  • OBJECTIVE To gain insight into the performance of deterministic record linkage (DRL) vs. probabilistic record linkage (PRL) strategies under different conditions by varying the frequency of registration errors and the amount of discriminating power. STUDY DESIGN AND SETTING A simulation study in which data characteristics were varied to create a range of realistic linkage scenarios. For each scenario, we compared the number of misclassifications (number of false nonlinks and false links) made… CONTINUE READING

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    Probabilistic linkage of large public health data files.