Screening and Test Evaluation Program, Sydney School of Public Health, University of Sydney, Sydney, New South Wales, Australia.
J Clin Epidemiol. 2010 Aug;63(8):883-91. doi: 10.1016/j.jclinepi.2009.08.024. Epub 2010 Jan 15.
To explain which measures of accuracy and which statistical methods should be used in studies to assess the value of a new binary test as a replacement test, an add-on test, or a triage test.
Selection and explanation of statistical methods, illustrated with examples.
Statistical methods for comparative diagnostic accuracy studies are described that take into account the purpose of the new diagnostic test. Methods are described within a framework that defines the major purpose of test comparison: assessing the value of a new test as a replacement test, an add-on test, or a triage test. Methods appropriate for both unpaired and paired study designs for binary test data are given, including regression modeling of diagnostic test accuracy. Implications for efficient study designs are also discussed.
Appropriate selection of existing statistical methods is necessary to address research questions about the comparative accuracy of new tests.
解释在研究中评估新的二分类检验作为替换检验、附加检验或分诊检验的价值时，应采用哪些准确性测量指标和统计方法。
选择和解释统计方法，并举例说明。
本文描述了考虑新诊断性检验目的的比较诊断准确性研究的统计方法。方法在一个定义检验比较主要目的的框架内进行描述：评估新检验作为替换检验、附加检验或分诊检验的价值。本文给出了适用于二分类检验数据的非配对和配对研究设计的方法，包括诊断性检验准确性的回归模型。还讨论了对高效研究设计的影响。
为了解决有关新检验比较准确性的研究问题，有必要选择适当的现有统计方法。
