Comparison of predictive values of two diagnostic tests from the same sample of subjects using weighted least squares

Comparison of predictive values of two diagnostic tests from the same sample of subjects using weighted least squares
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DOI:
10.1002/sim.2332
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发表时间:
2006-07-15
影响因子:
2
通讯作者:
Soong, Seng-Jaw
Soong, Seng-Jaw
中科院分区:
医学3区
文献类型:
--
作者:
Wang, Wenquan;Davis, Charles S.;Soong, Seng-Jaw

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筛查和诊断测试对于疾病预防或控制很重要。阳性和阴性(PPV 和 NPV)测试结果的预测值是筛选测试的四个操作特征中的两个。我们回顾了基于广义估计方程 (GEE) 方法的现有方法,用于比较同一受试者样本的预测值,并提出了两种源自加权最小二乘 (WLS) 方法的 Wald 检验统计量,用于分析分类数据。利用这些结果,我们提出了该问题的样本量计算公式。进行模拟研究以比较两种 Wald 检验统计量(一种基于两个 PPV 或 NPV 的差异,另一种基于两个 PPV 或 NPV 之比的对数)和源自 GEE 的分数/Wald 检验统计量的性能。我们建议使用基于差异的 WLS 方法。版权所有 (c) 2005 John Wiley & Sons, Ltd.
Screening and diagnostic tests are important in disease prevention or control. The predictive values of positive and negative (PPV and NPV) test results are two of four operational characteristics of a screening test. We review an existing method based on the generalized estimating equation (GEE) methodology for comparing predictive values from the same sample of subjects and propose two Wald test statistics derived from the weighted least squares (WLS) method for the analysis of categorical data. Using these results, we propose sample size calculation formulae for this problem. Simulation studies are conducted to compare the performances of the two Wald test statistics (one based on the difference of two PPVs or NPVs, another based on the logarithm of the ratio of two PPVs or NPVs) and the score/Wald test statistic derived from GEE. We recommend using the difference-based WLS approach. Copyright (c) 2005 John Wiley & Sons, Ltd.