Evaluating Diagnostic Tests

作者：Lawrence A. Thibodeau · 发表于：Biometrics · 年份：1981 · DOI：10.2307/2530161 · 被引用次数：118 · 研究领域：Advanced Statistical Methods and Models、Anomaly Detection Techniques and Applications

Diagnostic tests, regarded as methods of classification, are rarely perfect. Classification error and competing technologies require careful evaluation of diagnostic tests, usually by comparison to some standard. Conditional probabilities of correct classification, called 'sensitivity' and 'specificity', are typically used as evaluative measures. In this paper we consider misclassification as nonsampling error, evaluating its effect on the observed sensitivity and specificity.