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smoothestimationofroccurveinthepresenceofauxiliaryinformation
Zhou Yong1; Zhou Haibo2; Ma Yunbei1
2011
发表期刊journalofsystemsscienceandcomplexity
ISSN1009-6124
卷号024期号:005页码:919
摘要Receiver operating characteristic (ROC) curve is often used to study and compare two- sample problems in medicine. When more information may be available on one treatment than the other, one can improve estimator of ROC curve if the auxiliary population information is taken into account. The authors show that the empirical likelihood method can be naturally adapted to make efficient use of the auxiliary information to such problems. The authors propose a smoothed empirical likelihood estimator for ROC curve with some auxiliary information in medical studies. The proposed estimates are more efficient than those ROC estimators without any auxiliary information, in the sense of comparing asymptotic variances and mean squared error (MSE). Some asymptotic properties for the empirical likelihood estimation of ROC curve are established. A simulation study is presented to demonstrate the performance of the proposed estimators.
语种英语
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/45154
专题应用数学研究所
作者单位1.中国科学院数学与系统科学研究院
2.北卡罗来纳大学系统
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GB/T 7714
Zhou Yong,Zhou Haibo,Ma Yunbei. smoothestimationofroccurveinthepresenceofauxiliaryinformation[J]. journalofsystemsscienceandcomplexity,2011,024(005):919.
APA Zhou Yong,Zhou Haibo,&Ma Yunbei.(2011).smoothestimationofroccurveinthepresenceofauxiliaryinformation.journalofsystemsscienceandcomplexity,024(005),919.
MLA Zhou Yong,et al."smoothestimationofroccurveinthepresenceofauxiliaryinformation".journalofsystemsscienceandcomplexity 024.005(2011):919.
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