CSpace  > 应用数学研究所
Bai Fangfang; Zhou Yong
Source Publicationactamathematicaeapplicataesinica
AbstractReceiver 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.
Funding Project[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]
Document Type期刊论文
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Bai Fangfang]'s Articles
[Zhou Yong]'s Articles
Baidu academic
Similar articles in Baidu academic
[Bai Fangfang]'s Articles
[Zhou Yong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Bai Fangfang]'s Articles
[Zhou Yong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.