Analysis of binary responses with outcome-specific misclassification probability in genome-wide association studies

Abstract

Errors in the binary status of some response traits are frequent in human, animal, and plant applications. These error rates tend to differ between cases and controls because diagnostic and screening tests have different sensitivity and specificity. This increases the inaccuracies of classifying individuals into correct groups, giving rise to both false… (More)

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