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题名

Robust multivariate nonparametric tests for detection of two-sample location shift in clinical trials

作者
通讯作者Zhang, Bo
发表日期
2018-04-19
DOI
发表期刊
ISSN
1932-6203
卷号13期号:4
摘要
This article presents and investigates performance of a series of robust multivariate nonparametric tests for detection of location shift between two multivariate samples in randomized controlled trials. The tests are built upon robust estimators of distribution locations (medians, Hodges-Lehmann estimators, and an extended U statistic) with both unscaled and scaled versions. The nonparametric tests are robust to outliers and do not assume that the two samples are drawn from multivariate normal distributions. Bootstrap and permutation approaches are introduced for determining the p-values of the proposed test statistics. Simulation studies are conducted and numerical results are reported to examine performance of the proposed statistical tests. The numerical results demonstrate that the robust multivariate nonparametric tests constructed from the Hodges-Lehmann estimators are more efficient than those based on medians and the extended U statistic. The permutation approach can provide a more stringent control of Type I error and is generally more powerful than the bootstrap procedure. The proposed robust nonparametric tests are applied to detect multivariate distributional difference between the intervention and control groups in the Thai Healthy Choices study and examine the intervention effect of a four-session motivational interviewing-based intervention developed in the study to reduce risk behaviors among youth living with HIV.
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语种
英语
学校署名
第一
资助项目
National Institute of Mental Health[R34MH077523]
WOS研究方向
Science & Technology - Other Topics
WOS类目
Multidisciplinary Sciences
WOS记录号
WOS:000430446800056
出版者
来源库
Web of Science
引用统计
被引频次[WOS]:4
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/27806
专题理学院_数学系
工学院_材料科学与工程系
作者单位
1.Southern Univ Sci & Technol, Dept Math, Guangzhou, Guangdong, Peoples R China
2.Beijing Normal Univ, Sch Stat, Dept Math Stat, Beijing, Peoples R China
3.Univ Massachusetts, Sch Publ Hlth & Hlth Sci, Dept Hlth Promot & Policy, Amherst, MA 01003 USA
4.Meyers Primary Care Inst, Worcester, MA USA
5.Univ Massachusetts, Sch Med, Dept Quantitat Hlth Sci, Worcester, MA 01655 USA
第一作者单位数学系
第一作者的第一单位数学系
推荐引用方式
GB/T 7714
Jiang, Xuejun,Guo, Xu,Zhang, Ning,et al. Robust multivariate nonparametric tests for detection of two-sample location shift in clinical trials[J]. PLoS One,2018,13(4).
APA
Jiang, Xuejun,Guo, Xu,Zhang, Ning,Wang, Bo,&Zhang, Bo.(2018).Robust multivariate nonparametric tests for detection of two-sample location shift in clinical trials.PLoS One,13(4).
MLA
Jiang, Xuejun,et al."Robust multivariate nonparametric tests for detection of two-sample location shift in clinical trials".PLoS One 13.4(2018).
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