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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
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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.

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Breast NeoplasmsCase-Control StudiesComputer SimulationDisease ProgressionFemaleGene Expression Regulation, NeoplasticGenes, erbB-2Genetic MarkersHumansMarkov ChainsMonte Carlo MethodOdds RatioRisk FactorsJournal Article

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Stephen W Duffy, Thomas E Rohan, Rita Kandel, Teresa C Prevost, Kenneth Rice, Jonathan P Myles. 2003-08-15. Misclassification in a matched case-control study with variable matching ratio: application to a study of c-erbB-2 overexpression and breast cancer.. https://doi.org/10.1002/sim.1477

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