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Using Extended Rasch Models to Assess Validity of Diagnostic Tests in the Presence of a Reference Standard

机译:在参考标准存在下使用扩展Rasch模型评估诊断测试的有效性

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摘要

We show that extended Rasch models, built to deal with continuous latent variables, may be useful for assessing validity of medical diagnostic tests in the presence of a reference standard, particularly for chronic diseases. We derive estimates for sensitivity and specificity under the Rasch model assumptions. Our estimations can be computed conditionally on the level of potential confounding covariates, making use of a variety of extended Rasch models, namely log-linear Rasch models, to examine the association between covariates and both disease intensity and response to the tests. Also, another variety of extended Rasch models-partial credit models-can determine appropriate thresholds for quantitative diagnostic tests. As an example, we study the validity of some diagnostic tests of heart failure.
机译:我们显示,扩展的Rasch模型(用于处理连续的潜在变量)可能对评估具有参考标准的医学诊断测试的有效性很有用,尤其是对于慢性疾病。我们在Rasch模型假设下得出敏感性和特异性的估计值。可以使用多种扩展的Rasch模型(即对数线性Rasch模型)来检查协变量与疾病强度和对测试的反应之间的关联,从而有条件地根据潜在混杂变量的水平计算我们的估计值。此外,另一种扩展的Rasch模型(部分信用模型)可以确定定量诊断测试的适当阈值。例如,我们研究了一些心力衰竭诊断测试的有效性。

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  • 来源
    《Journal of applied measurement》 |2012年第4期|376-393|共18页
  • 作者单位

    Biostatistics and Epidemiology Unit, Hotel Dieu, Paris, France Universite de Lyon, Lyon, France IFSTTAR, UMR T9405, UMRESTTE, Bron, France UMRESTTE IFSTTAR, 25 Avenue Francois Mitterrand, 69675 Bron Cedex, France;

    EA 4360 APEMAC, Universite Paris Descartes;

    Universite Pierre et Marie Curie, Paris, France;

    EA 4360 APEMAC, Universite Paris Descartes Department of Internal Medicine, Hopital Europeen Georges Pompidou, Paris, France;

    Biostatistics and Epidemiology Unit, Hotel Dieu, Paris, France EA 4360 APEMAC, Universite Paris Descartes;

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