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  • 1. The effect of record linkage errors on risk estimates in cohort mortality studies Archived
    Articles and reports: 12-001-X20050018083
    Description:

    The advent of computerized record linkage methodology has facilitated the conduct of cohort mortality studies in which exposure data in one database are electronically linked with mortality data from another database. This, however, introduces linkage errors due to mismatching an individual from one database with a different individual from the other database. In this article, the impact of linkage errors on estimates of epidemiological indicators of risk such as standardized mortality ratios and relative risk regression model parameters is explored. It is shown that the observed and expected number of deaths are affected in opposite direction and, as a result, these indicators can be subject to bias and additional variability in the presence of linkage errors.

    Release date: 2005-07-21
  • 2. The effect of record linkage errors on statistical inference in cohort mortality studies Archived
    Articles and reports: 11-522-X20010016277
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    The advent of computerized record-linkage methodology has facilitated the conduct of cohort mortality studies in which exposure data in one database are electronically linked with mortality data from another database. In this article, the impact of linkage errors on estimates of epidemiological indicators of risk, such as standardized mortality ratios and relative risk regression model parameters, is explored. It is shown that these indicators can be subject to bias and additional variability in the presence of linkage errors, with false links and non-links leading to positive and negative bias, respectively, in estimates of the standardized mortality ratio. Although linkage errors always increase the uncertainty in the estimates, bias can be effectively eliminated in the special case in which the false positive rate equals the false negative rate within homogeneous states defined by cross-classification of the covariates of interest.

    Release date: 2002-09-12
  • 3. Evaluation of error rates in large scale computerized record linkage studies Archived
    Articles and reports: 12-001-X199300114479
    Description:

    Matching records in different administrative data bases is a useful tool for conducting epidemiological studies to study relationships between environmental hazards and health status. With large data bases, sophisticated computerized record linkage algorithms can be used to evaluate the likelihood of a match between two records based on a comparison of one or more identifying variables for those records. Since matching errors are inevitable, consideration needs to be given to the effects of such errors on statistical inferences based on the linked files. This article provides an overview of record linkage methodology, and a discussion of the statistical issues associated with linkage errors.

    Release date: 1993-06-15
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Articles and reports (3)

Articles and reports (3) ((3 results))

  • 1. The effect of record linkage errors on risk estimates in cohort mortality studies Archived
    Articles and reports: 12-001-X20050018083
    Description:

    The advent of computerized record linkage methodology has facilitated the conduct of cohort mortality studies in which exposure data in one database are electronically linked with mortality data from another database. This, however, introduces linkage errors due to mismatching an individual from one database with a different individual from the other database. In this article, the impact of linkage errors on estimates of epidemiological indicators of risk such as standardized mortality ratios and relative risk regression model parameters is explored. It is shown that the observed and expected number of deaths are affected in opposite direction and, as a result, these indicators can be subject to bias and additional variability in the presence of linkage errors.

    Release date: 2005-07-21
  • 2. The effect of record linkage errors on statistical inference in cohort mortality studies Archived
    Articles and reports: 11-522-X20010016277
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    The advent of computerized record-linkage methodology has facilitated the conduct of cohort mortality studies in which exposure data in one database are electronically linked with mortality data from another database. In this article, the impact of linkage errors on estimates of epidemiological indicators of risk, such as standardized mortality ratios and relative risk regression model parameters, is explored. It is shown that these indicators can be subject to bias and additional variability in the presence of linkage errors, with false links and non-links leading to positive and negative bias, respectively, in estimates of the standardized mortality ratio. Although linkage errors always increase the uncertainty in the estimates, bias can be effectively eliminated in the special case in which the false positive rate equals the false negative rate within homogeneous states defined by cross-classification of the covariates of interest.

    Release date: 2002-09-12
  • 3. Evaluation of error rates in large scale computerized record linkage studies Archived
    Articles and reports: 12-001-X199300114479
    Description:

    Matching records in different administrative data bases is a useful tool for conducting epidemiological studies to study relationships between environmental hazards and health status. With large data bases, sophisticated computerized record linkage algorithms can be used to evaluate the likelihood of a match between two records based on a comparison of one or more identifying variables for those records. Since matching errors are inevitable, consideration needs to be given to the effects of such errors on statistical inferences based on the linked files. This article provides an overview of record linkage methodology, and a discussion of the statistical issues associated with linkage errors.

    Release date: 1993-06-15
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