Alonzo Todd A, Pepe Margaret Sullivan
Children's Oncology Group, Keck School of Medicine, University of Southern California, PO Box 60012, Arcadia, CA 91066, USA.
Biostatistics. 2002 Sep;3(3):421-32. doi: 10.1093/biostatistics/3.3.421.
Receiver operating characteristic (ROC) regression methodology is used to identify factors that affect the accuracy of medical diagnostic tests. In this paper, we consider a ROC model for which the ROC curve is a parametric function of covariates but distributions of the diagnostic test results are not specified. Covariates can be either common to all subjects or specific to those with disease. We propose a new estimation procedure based on binary indicators defined by the test result for a diseased subject exceeding various specified quantiles of the distribution of test results from non-diseased subjects with the same covariate values. This procedure is conceptually and computationally simplified relative to existing procedures. Simulation study results indicate that the approach has fairly high statistical efficiency. The new ROC regression methodology is used to evaluate childhood measurements of body mass index as a predictive marker of adult obesity.
接收者操作特征（ROC）回归方法用于识别影响医学诊断测试准确性的因素。在本文中，我们考虑一种ROC模型，其ROC曲线是协变量的参数函数，但未指定诊断测试结果的分布。协变量可以对所有受试者都是共同的，也可以是特定于患病者的。我们基于由患病受试者的测试结果超过具有相同协变量值的非患病受试者测试结果分布的各种指定分位数所定义的二元指标，提出了一种新的估计程序。相对于现有程序，该程序在概念上和计算上都得到了简化。模拟研究结果表明，该方法具有相当高的统计效率。新的ROC回归方法用于评估儿童期体重指数测量作为成人肥胖的预测指标。
