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Evaluation of the sensitivity and specificity of qualitative diagnostic test under normal assumption

机译:正常假设下定性诊断测试的敏感性和特异性评估

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Sensitivity and specificity of an investigational qualitative diagnostic test are conventionally estimated by comparing with an existing qualitative reference test which is often imperfect and hence introduces misclassification biases to sensitivity and specificity estimates. In many situations, both tests measure an underlying continuous trait associated with a specific disease/virus and report binary results by comparing the measurement to a pre-determined cutoff point. The maximum likelihood estimates of the sensitivity and specificity are established under independent normal assumption between the underlying trait and measurement errors for both investigational test and reference test. This allows us to avoid misclassificiation biases caused by imperfect reference test without retesting any subjects.
机译:传统上,通过与通常不完善的现有定性参考测试进行比较,估计研究性定性诊断测试的敏感性和特异性,从而给敏感性和特异性估计带来误分类偏差。在许多情况下,两种测试都测量与特定疾病/病毒相关的潜在连续性状,并通过将测量值与预定的临界点进行比较来报告二进制结果。敏感性和特异性的最大似然估计是在独立的正常假设下确定的,用于研究测试和参考测试的潜在特征和测量误差之间。这使我们能够避免因参考测试不完善而导致的分类错误,而无需重新测试任何受试者。

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