Abstract

Positive predicted value and negative predicted value are used by clinicians to evaluate how likely a disease stage is present given the test results. In contrast, positive and negative likelihood ratios are used in practice to assess the potential utility of a specific diagnostic test and the likelihood of a patient having the condition. This article introduces the concepts and the derivation of generalized predictive values and likelihood ratios from binary diseases to ordinal multi-stages diseases. We evaluate the performance of the proposed methods with numerical examples. We illustrated the proposed methods provided using real data.

中文翻译：

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有序多阶段疾病的连续测试的测试后诊断准确性测量

摘要

临床医生使用正预测值和负预测值来评估给定测试结果的疾病阶段的可能性。相反，实践中使用正和负似然比来评估特定诊断测试的潜在效用和患者患病的可能性。本文介绍了从二元疾病到序贯多阶段疾病的广义预测值和似然比的概念和派生。我们通过数值示例评估了所提出方法的性能。我们说明了使用实际数据提供的建议方法。