Adjusting for covariates in studies of diagnostic, screening, or prognostic markers: An old concept in a new setting
Adjusting for covariates in studies of diagnostic, screening, or prognostic markers: An old concept in a new setting
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DOI：
10.1093/aje/kwn099
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发表时间：
2008-07-01
影响因子：
5
通讯作者：
Pepe, Margaret S.
中科院分区：
文献类型：
--
作者：
Janes, Holly;Pepe, Margaret S.
协变量调整的概念在治疗和病因学研究中已得到很好的确立。然而，在致力于开发疾病诊断、筛查或预后标记物的不断发展的医学研究领域，它很少受到关注，在这些领域，分类准确性而不是关联性才是最重要的。在本文中，作者论证了分类准确性研究中协变量调整的必要性，讨论了协变量调整的方法，并将协变量调整与其他几种相关但本质上不同的协变量用途区分开来。他们通过关联研究进行类比和对比。
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.