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Adjusting for Covariates in Studies of Diagnostic, Screening, or Prognostic Markers: An Old Concept in a New Setting

机译:在诊断,筛查或预后标记研究中调整协变量:新环境中的旧概念

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摘要

The concept of covariate adjustment is well established in therapeutic and etiologic studies. However, it has received little attention in the growing area of medical research devoted to the development of markers for disease diagnosis, screening, or prognosis, where classification accuracy, rather than association, is of primary interest. In this paper, the authors demonstrate the need for covariate adjustment in studies of classification accuracy, discuss methods for adjusting for covariates, and distinguish covariate adjustment from several other related, but fundamentally different, uses for covariates. They draw analogies and contrasts throughout with studies of association.
机译:协变量调整的概念已在治疗和病因学研究中确立。然而,在致力于疾病诊断,筛查或预后标志物开发的医学研究的增长领域,它几乎没有受到关注,在这些领域中,分类的准确性而不是关联性是最重要的。在本文中,作者证明了在分类准确度研究中需要进行协变量调整,讨论了对协变量进行调整的方法,并将协变量调整与其他几个相关但本质上不同的协变量用法区分开来。在整个关联研究中,他们得出了类比和对比。

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  • 来源
    《American Journal of Epidemiology》 |2008年第1期|p.89-97|共9页
  • 作者单位

    1Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 2Department of Biostatistics, University of Washington, Seattle, WA;

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  • 正文语种 eng
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