Comparing the predictive values of diagnostic tests: sample size and analysis for paired study designs
Comparing the predictive values of diagnostic tests: sample size and analysis for paired study designs
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DOI：
10.1191/1740774506cn147oa
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发表时间：
2006-01-01
期刊：
影响因子：
2.7
通讯作者：
Pepe, Margaret S.
中科院分区：
文献类型：
--
作者：
Moskowitz, Chaya S.;Pepe, Margaret S.
背景虽然统计方法是发达的比较诊断测试的敏感性和特异性，预测值的比较推断是不是Purpose-在本文中，我们考虑的设计和分析的研究比较两个诊断测试，测量所有subjects.Methods的阳性和阴性预测值，我们专注于比较测试使用相对阳性和阴性预测值。我们讨论直接估计这些数量的数据，并推导出解析方差表达式。结果我们分析了囊性纤维化患者的数据，以说明方法学。这种方法进行了比较，并与现有的回归框架，也可以用于类似的分析目的，并产生类似的results.Conclusions对比，我们已经开发出一种新的方法来比较两个测试的预测值，从而产生研究设计的样本量公式。
Background Although statistical methodology is well developed for comparing diagnostic tests in terms of their sensitivities and specificities, comparative inference about predictive values is not.Purpose In this paper we consider the design and analysis of studies comparing the positive and negative predictive values of two diagnostic tests that are measured on all subjects.Methods We focus on comparing tests using the relative positive and negative predictive values. We discuss directly estimating these quantities from the data and derive analytic variance expressions. Sample size formulas for study design ensue.Results We analyze data on patients with cystic fibrosis to illustrate the methodology. This approach is compared and contrasted with an existing regression framework that can also be used for similar analysis purposes and yields similar results.Conclusions We have developed a new approach for comparing the predictive values of two tests that gives rise to sample size formulas for study design.