Combining multiple continuous tests for the diagnosis of kidney impairment in the absence of a gold standard.

Combining multiple continuous tests for the diagnosis of kidney impairment in the absence of a gold standard.
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DOI:
10.1002/sim.4203
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发表时间:
2011-06-30
影响因子:
2
通讯作者:
Bandinelli, Stefania
Bandinelli, Stefania
中科院分区:
医学3区
文献类型:
--
作者:
Yu, Binbing;Zhou, Chuan;Bandinelli, Stefania

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受试者工作特征(ROC)曲线通常用于总结诊断测试的分类准确性。在医疗实践中,常规进行多种诊断测试或对同一个体提供多种疾病标志物并不罕见。当通过金标准测试验证真实疾病状态时,已经提出了多种方法来联合收割机组合这种潜在的相关测试以增加疾病诊断的准确性。在这篇文章中,我们提出了一种在没有金标准的情况下结合多种诊断测试的方法。我们假设测试值及其分类精度依赖于协变量。仿真研究进行检查的组合方法的性能。所提出的方法应用于从人口为基础的老龄化研究的数据,比较三个肾功能筛查试验的准确性,并估计中度肾功能损害的患病率。
Receiver Operating Characteristic (ROC) curves are commonly used to summarize the classification accuracy of diagnostic tests. It is not uncommon in medical practice that multiple diagnostic tests are routinely performed or multiple disease markers are available for the same individuals. When the true disease status is verified by a gold standard test, a variety of methods have been proposed to combine such potential correlated tests to increase the accuracy of disease diagnosis. In this article, we propose a method of combining multiple diagnostic tests in the absence of a gold standard. We assume that the test values and their classification accuracies are dependent on covariates. Simulation studies are performed to examine the performance of the combination method. The proposed method is applied to data from a population-based aging study to compare the accuracy of three screening tests for kidney function and to estimate the prevalence of moderate kidney impairment.
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