PubMed · 2005 · 11 citations · 7 references
Family MedicineEngineeringValidated Sample LinkageDutch Perinatal RegistriesProbabilistic LinkagePrimary CareData ScienceData MiningClinical EpidemiologyData IntegrationBiostatisticsAnonymous RegistriesPublic HealthStatisticsHealth Services ResearchClinical DatabaseKnowledge DiscoveryData Re-identificationPopulation StudyElectronic Health RecordClinical DataPrivacyMedical Record LinkageRecord LinkageHealth DataMedical PrivacyPediatricsStatistical InferenceDemographyHealth Informatics
This paper describes the linkage of data from three Dutch Perinatal Registries: the Dutch National Midwife Registry, the Dutch National Obstetrics Registry and the Dutch National Pediatrics Registry, for the year of 2001. All these registries are anonymous and lack a common identifier. We used probabilistic and deterministic record linkage techniques to combine data from the mother, delivery and child involving to the same pregnancy. Records of singleton and twin pregnancies were linked separately. We have developed a probabilistic close method based on maximum likelihood methods to estimate the weights of individual linking variables and the threshold value for the overall weight. Probabilistic linkage identified 80% more links than a full deterministic linkage approach. External validation revealed an error rate of less than 1%. Our method is a flexible and powerful method to link anonymous registries in the absence of a gold standard.
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Ivan P. Fellegi, A. B. Sunter · Journal of the American Statistical Association · 1969 · 2.4K citations
Probabilistic linkage of large public health data files
Matthew A. Jaro · Statistics in Medicine · 1995 · 780 citations