Misclassification in a matched case-control study with variable matching ratio: Application to a study of c-erbB-2 overexpression and breast cancer

Stephen W. Duffy, Thomas E. Rohan, Rita Kandel, Teresa C. Prevost, Kenneth Rice, Jonathan P. Myles

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

We provide a simple analytic correction for risk factor misclassification in a matched case-control study with variable numbers of controls per case. The method is an extension of existing methodology, and involves estimating the corrected proportions of controls and cases in risk factor categories within each matched set. These estimates are then used to calculate the Mantel-Haenszel odds ratio estimate corrected for misclassification. A simulation-based interval estimate is developed. An example is given from a study of risk factors for progression of benign breast disease to breast cancer, in which the risk factor is a biological marker measured with poor sensitivity.

Original languageEnglish (US)
Pages (from-to)2459-2468
Number of pages10
JournalStatistics in Medicine
Volume22
Issue number15
DOIs
StatePublished - Aug 15 2003

Keywords

  • Mantel-Haenszel estimate
  • Markov chain Monte Carlo
  • Matched case-control
  • Misclassification

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability

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