The consultant's forum. Reader reaction. Algorithms versus models for analyzing data that contain misclassification errors

A. Ekholm, M. A. Espeland, S. L. Hui

Research output: Contribution to journalArticle

6 Scopus citations


Espeland and Hui (1987, Biometrics 43, 1001-1012) propose a methodology for analysing epidemiologic data contaminated by misclassification. They explicate their algorithm by a data set concerning cervical cancer and circumcision. We reanalyse these data using a conditional independence assumption different from theirs, and reach radically different conclusions. Espeland and Hui's methodology is a form of correlation analysis. We propose an alternative methodology based on the logic of regression analysis.

Original languageEnglish (US)
Pages (from-to)1171-1182
Number of pages12
Issue number3
StatePublished - Nov 7 1991


ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Agricultural and Biological Sciences(all)
  • Applied Mathematics

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