Semiparametric ROC surfaces for continuous diagnostic tests based on two test measurements

被引:5
|
作者
Wan, Shuwen [1 ]
Zhang, Biao [2 ]
机构
[1] Nanjing Univ Finance & Econ, Dept Appl Math, Nanjing 210046, Peoples R China
[2] Univ Toledo, Dept Math, Toledo, OH 43606 USA
基金
美国国家科学基金会;
关键词
density ratio model; empirical likelihood; logistic regression; ROC curve; ROC surface; OPERATING CHARACTERISTIC CURVES; LOGISTIC-REGRESSION MODELS; EMPIRICAL LIKELIHOOD;
D O I
10.1002/sim.3625
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
We propose a semiparametric method for estimating ROC surfaces for continuous diagnostic tests based on two test measurements. Such a three-class diagnostic problem based on two test measurements arises naturally from some DNA amplification-related diagnostic scenarios. Simulation results show that our proposed semiparametric ROC surface estimator is more efficient than the nonparametric counterpart and is quite comparable with the parametric counterpart when model assumption of the data is correctly specified for the parametric method. Moreover, when the parametric model assumption is not true, our proposed semiparametric method is superior to both nonparametric and parametric methods. Some discussions and a simulated example along with R programs for implementation of the proposed method are also provided. Copyright (C) 2009 John Wiley & Sons, Ltd.
引用
收藏
页码:2370 / 2383
页数:14
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