kernelestimatorsoftheroccurvewithcensoreddata

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	kernelestimatorsoftheroccurvewithcensoreddata
	Bai Fangfang; Zhou Yong
	2013
发表期刊	actamathematicaeapplicataesinica
ISSN	0168-9673
卷号	29 期号:1 页码:43
摘要	Receiver operating characteristic (ROC) curves are often used to study the two sample problem in medical studies. However, most data in medical studies are censored. Usually a natural estimator is based on the Kaplan-Meier estimator. In this paper we propose a smoothed estimator based on kernel techniques for the ROC curve with censored data. The large sample properties of the smoothed estimator are established. Moreover, deficiency is considered in order to compare the proposed smoothed estimator of the ROC curve with the empirical one based on Kaplan-Meier estimator. It is shown that the smoothed estimator outperforms the direct empirical estimator based on the Kaplan-Meier estimator under the criterion of deficiency. A simulation study is also conducted and a real data is analyzed.
语种	英语
资助项目	[National Natural Science Foundation of China (NSFC)] ; [National Natural Science Funds for Distinguished Young Scholar] ; [Creative Research Groups of China] ; [Shanghai University of Finance and Economics through Project 211 Phase III] ; [Shanghai Leading Academic Discipline Project]
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/39229
专题	应用数学研究所
作者单位	中国科学院数学与系统科学研究院
推荐引用方式 GB/T 7714	Bai Fangfang,Zhou Yong. kernelestimatorsoftheroccurvewithcensoreddata[J]. actamathematicaeapplicataesinica,2013,29(1):43.
APA	Bai Fangfang,&Zhou Yong.(2013).kernelestimatorsoftheroccurvewithcensoreddata.actamathematicaeapplicataesinica,29(1),43.
MLA	Bai Fangfang,et al."kernelestimatorsoftheroccurvewithcensoreddata".actamathematicaeapplicataesinica 29.1(2013):43.