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Instrumental Variables in the Evaluation of Diagnostic Test Procedures when the True Disease State is Unknown

Overview
Journal Stat Med
Publisher Wiley
Specialty Public Health
Date 1988 Jul 1
PMID 3043622
Citations 6
Authors
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Abstract

We explore the estimation of sensitivity and specificity of diagnostic tests when the true disease state is unknown. Instrumental variables which subdivide the patient population are used. A logistic model, relating these instrumental variables to the (unknown) true disease state is proposed. It is shown that this procedure allows the goodness-of-fit to the resulting model to be tested.

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