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This work aims to clarify methods for estimating crude odds ratios in case-control studies with misclassified exposure.

December 1, 2002Biometrics

A Note on Estimating Crude Odds Ratios in Case-Control Studies with Differentially Misclassified Exposure

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This work aims to clarify methods for estimating crude odds ratios in case-control studies with misclassified exposure.
Comparative study of maximum likelihood (ML) and two intuitive procedures for exposure misclassification adjustment.
Reparameterization of the likelihood to understand the inverse matrix method under differential misclassification.
ML is generally recommended for analysts with numerical routines, despite ease of computation of alternative methods.
The inverse matrix method is identified as ML in cases of differential misclassification, simplifying odds ratio estimation.

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Comparative analysis of misclassification adjustment methods for odds ratios in case-control studies, suggesting efficient estimation alternatives.

Robert H. Lyles (2002) studied this question.

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Comparative analysis of misclassification adjustment methods for odds ratios in case-control studies, suggesting efficient estimation alternatives.