Logistic regression with misclassification in binary outcome variables: a method and software
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DOI: 10.1007/s41237-017-0031-y
Abstract: Measurement error in continuous, normally distributed data is well known in the literature. Measurement error in a binary outcome variable, however, remains under-studied. Misclassification is the error in categorical data in which the observed category… read more here.
Keywords: logistic regression; misclassification; regression misclassification; model ... See more keywords