A note on estimating crude odds ratios in case-control studies with differentially misclassified exposure

Robert H. Lyles*, Mary Morrissey, Donna Spiegelman

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

48 Scopus citations

Abstract

Morrissey and Spiegelman (1999, Biometrics 55, 338-344) provided a comparative study of adjustment methods for exposure misclassification in case-control studies equipped with an internal validation sample. In addition to the maximum likelihood (ML) approach, they considered two intuitive procedures based on proposals in the literature. Despite appealing ease of computation associated with the latter two methods, efficiency calculations suggested that ML was often to be recommended for the analyst with access to a numerical routine to facilitate it. Here, a reparameterization of the likelihood reveals that one of the intuitive approaches, the inverse matrix method, is in fact ML under differential misclassification. This correction is intended to alert readers to the existence of a simple closed-form ML estimator for the odds ratio in this setting so that they may avoid assuming that a commercially inaccessible optimization routine must be sought to implement ML.

Original languageEnglish (US)
Pages (from-to)1034-1037
Number of pages4
JournalBiometrics
Volume58
Issue number4
StatePublished - Dec 1 2002

Keywords

  • Likelihood
  • Misclassification
  • Validation study

ASJC Scopus subject areas

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

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