Global hypothesis test to simultaneously compare the predictive values of two binary diagnostic tests
Global hypothesis test to simultaneously compare the predictive values of two binary diagnostic tests
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DOI：
10.1016/j.csda.2011.06.003
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发表时间：
2012-05-01
影响因子：
1.8
通讯作者：
Montero Alonso, Miguel Angel
中科院分区：
文献类型：
--
作者：
Roldan Nofuentes, Jose Antonio;de Dios Luna del Castillo, Juan;Montero Alonso, Miguel Angel
二元诊断测试的阳性和阴性预测值是诊断测试的临床准确性的量度，其取决于诊断测试的灵敏度和特异性以及疾病患病率，因此它们是两个相互依赖的参数。配对设计中预测值的比较不考虑预测值之间的依赖性。已经研究了全局假设检验，以便当二元检验和金标准应用于随机样本中的所有个体时，同时比较两个或更多个二元诊断检验的预测值。该全局假设检验是基于卡方分布的渐近假设检验。模拟实验已经进行，以研究I型错误和权力的全球假设检验时，比较两个和三个二元诊断测试的预测值，分别。根据模拟实验的结果，提出了一种同时比较两个或多个二元诊断测试的预测值的方法。结果已应用于冠心病的诊断。(C)2011 Elsevier B.V.保留所有权利。
The positive and negative predictive values of a binary diagnostic test are measures of the clinical accuracy of the diagnostic test, which depend on the sensitivity and specificity of the diagnostic test and the disease prevalence, and therefore they are two interdependent parameters. The comparisons of predictive values in paired designs do not consider the dependence between predictive values. A global hypothesis test has been studied in order to simultaneously compare the predictive values of two or more binary diagnostic tests when the binary tests and the gold standard are applied to all of the individuals in a random sample. This global hypothesis test is an asymptotic hypothesis test based on the chi-square distribution. Simulation experiments have been carried out in order to study the type I error and the power of the global hypothesis test when comparing the predictive values of two and three binary diagnostic tests, respectively. From the results of the simulation experiments, a method has been proposed to simultaneously compare the predictive values of two or more binary diagnostic tests. The results have been applied to the diagnosis of coronary disease. (C) 2011 Elsevier B.V. All rights reserved.