Shapiro D E
Center for Biostatistics in AIDS Research, Harvard School of Public Health, Boston, Massachusetts 02115-6017, USA.
Stat Methods Med Res. 1999 Jun;8(2):113-34. doi: 10.1177/096228029900800203.
Laboratory diagnostic tests are central in the practice of modern medicine. Common uses include screening a specific population for evidence of disease and confirming or ruling out a tentative diagnosis in an individual patient. The interpretation of a diagnostic test result depends on both the ability of the test to distinguish diseased from nondiseased subjects and the particular characteristics of the patient and setting in which the test is being used. This article reviews statistical methodology for assessing laboratory diagnostic test accuracy and interpreting individual test results, with an emphasis on diagnostic tests that yield a continuous measurement. The article begins with a summary of basic concepts and terminology, then briefly discusses study design and reviews methods for assessing the accuracy of a single diagnostic test, comparing the accuracy of two or more diagnostic tests and interpreting individual test results.
实验室诊断测试在现代医学实践中至关重要。常见用途包括对特定人群进行疾病证据筛查,以及在个体患者中确认或排除初步诊断。诊断测试结果的解读既取决于测试区分患病与未患病个体的能力,也取决于患者的特定特征以及测试所应用的环境。本文回顾了评估实验室诊断测试准确性和解读个体测试结果的统计方法,重点关注产生连续测量值的诊断测试。文章首先总结基本概念和术语,然后简要讨论研究设计,并回顾评估单一诊断测试准确性、比较两种或更多种诊断测试准确性以及解读个体测试结果的方法。