Variance estimation for epidemiologic effect estimates under misclassification

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Abstract
This paper presents basic methods for construction of variance estimators for epidemiologic effect estimates when adjusting for misclassification. Methods are described for differential and non-differential misclassification, and for external and internal estimates of classification rates. The methods take account of sampling variability in both the observed data and the estimated classification rates. The methods are illustrated in a case-control analysis of the association of antibiotic use during pregnancy with sudden infant death syndrome.