Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Systems Science and Mathematical Sciences》 2019-06
Add to Favorite Get Latest Update

Mode Regression in the Secondary Analysis of Case-Control Data

CAO Rui;TIAN Maozai;Center for Applied Statistics, School of Statistics, Renmin University of China;School of Statistics and Information,Xinjiang University of Finance and Economics;School of Statistics,Lanzhou University of Finance and Economics;  
Case-control study is widely used in epidemiology and other fields.The case-control data from it not only can be used to find risk factors of diseases,but also can be used for secondary analysis,namely,to explore the relationships between risk factors of diseases.The existing methods in literatures mainly focus on mean regression and quantile regression in secondary analysis.As the most likely value in data,mode is not only an important parameter to describe the central position of data,but also an important supplement to mean and quantile.Thus,combining the features of case-control data,a mode regression method based on the estimating equation is proposed.The asymptotic properties of the estimator are also discussed.The Monte Carlo numerical simulation results show that the proposed estimation method is more effective and applicable than other methods.Finally,a breast cancer data set is used to illustrate the performance of the proposed method.
【Fund】: 国家自然科学基金(11861042);; 中国人民大学科学研究基金(中央高校基本科研业务费专项资金资助)项目成果(18XNL012);; 全国统计科研计划项目重大项目(2016LD03);; 新疆维吾尔自治区普通高等学校人文社会科学基地基金资助课题
【CateGory Index】: O212.1;R181
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved