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研究方法:诊断测试特征。

Research Methods: Diagnostic Test Characteristics.

机构信息

Division of Pediatric Hospital Medicine, Stanford University School of Medicine, Palo Alto, California.

Departments of Epidemiology & Biostatistics and Pediatrics, University of California, San Francisco, San Francisco, California.

出版信息

Hosp Pediatr. 2023 Jun 1;13(6):e164-e169. doi: 10.1542/hpeds.2023-007149.

Abstract

The goal of a diagnostic test is to provide information on the probability of disease. In this article, we review the principles of diagnostic test characteristics, including sensitivity, specificity, positive and negative predictive value, receiver operating characteristics curves, likelihood ratios, and interval likelihood ratios. We illustrate how interval likelihood ratios optimize the information that can be obtained from test results that can take on >2 values, how they are reflected in the slope of the receiver operating characteristics curve, and how they can be easily calculated from published data.

摘要

诊断测试的目的是提供有关疾病概率的信息。在本文中,我们回顾了诊断测试特征的原则,包括敏感性、特异性、阳性和阴性预测值、接收者操作特征曲线、似然比和区间似然比。我们说明了区间似然比如何优化可以从可以取 >2 值的测试结果中获得的信息,它们如何反映在接收者操作特征曲线的斜率上,以及如何从已发表的数据中轻松计算它们。

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