The Use of Names for Linking Personal Records

Abstract The skill of a human who searches large files of personal records depends much on prior knowledge of how the names vary in successive documents pertaining to the same individuals (e.g., as with ANTHONY–TONY, JOSEPH–JOE, WILLIAM–BILL). Now, an essentially exact procedure enables computers to make similar use of an accumulated memory of their own past experiences when searching for, and linking, records that relate to particular persons. This knowledge is further applied to quantify the benefits from various refinements of the rules by which the discriminating powers of names are calculated when they do not precisely agree or are substantially dissimilar. Of the six refinements tested, by far the most important is the recently developed exact approach for calculating the ODDS associated with comparisons of names that are possible synonyms.

[1]  M E Fair,et al.  Application of exact ODDS for partial agreements of names in record linkage. , 1991, Computers and biomedical research, an international journal.

[2]  Robert Tibshirani,et al.  The Bootstrap Method for Assessing Statistical Accuracy , 1985 .

[3]  J. T. Marshall Canada's national vital statistics index , 1947 .

[4]  R E Smith,et al.  The California Automated Mortality Linkage System (CAMLIS). , 1984, American journal of public health.

[5]  H B Newcombe,et al.  Reliability of computerized versus manual death searches in a study of the health of Eldorado uranium workers. , 1983, Computers in biology and medicine.

[6]  Matthew A. Jaro,et al.  Advances in Record-Linkage Methodology as Applied to Matching the 1985 Census of Tampa, Florida , 1989 .

[7]  H B NEWCOMBE,et al.  Automatic linkage of vital records. , 1959, Science.

[8]  B Efron,et al.  Statistical Data Analysis in the Computer Age , 1991, Science.

[9]  H. Newcombe Record linking: the design of efficient systems for linking records into individual and family histories. , 1967, American journal of human genetics.

[10]  J B Copas,et al.  Record linkage: statistical models for matching computer records. , 1990, Journal of the Royal Statistical Society. Series A,.

[11]  A Wajda,et al.  The art and science of record linkage: methods that work with few identifiers. , 1986, Computers in biology and medicine.

[12]  M E Fair,et al.  Canadian Farm Operator Study: methodology. , 1990, Health reports.

[13]  E. Acheson,et al.  Textbook of Medical Record Linkage , 1987 .

[14]  Great Britain. Foreign Office.,et al.  Supplement to the fifty-fifth annual report of the registrar-general of births, deaths, and marriages in England , 1895 .

[15]  H B Newcombe,et al.  Accuracies of Computer versus Manual Linkages of Routine Health Records , 1979, Methods of Information in Medicine.

[16]  H B Newcombe,et al.  Use of the Canadian Mortality Data Base for epidemiological follow-up. , 1982, Canadian journal of public health = Revue canadienne de sante publique.

[17]  M E Fair,et al.  Discriminating powers of partial agreements of names for linking personal records. Part I: The logical basis. , 1989, Methods of information in medicine.

[18]  Howard B. Newcombe,et al.  Handbook of record linkage: methods for health and statistical studies, administration, and business , 1988 .

[19]  Ivan P. Fellegi,et al.  A Theory for Record Linkage , 1969 .

[20]  G R Howe,et al.  A generalized iterative record linkage computer system for use in medical follow-up studies. , 1981, Computers and biomedical research, an international journal.

[21]  Howard B. Newcombe,et al.  Record linkage: making maximum use of the discriminating power of identifying information , 1962, CACM.

[22]  E D Acheson,et al.  Medical Record Linkage)) , 1969, Methods of Information in Medicine.

[23]  Robert Tibshirani,et al.  Bootstrap Methods for Standard Errors, Confidence Intervals, and Other Measures of Statistical Accuracy , 1986 .

[24]  H. Newcombe,et al.  Methods for Computer Linkage of Hospital Admission-Separation Records into Cumulative Health Histories , 1975, Methods of Information in Medicine.

[25]  H B Newcombe,et al.  Automated follow-up facilities in Canada for monitoring delayed health effects. , 1980, American journal of public health.