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题名

Confidence intervals for proportion ratios of stratified correlated bilateral data

作者
通讯作者Ma, Chang-Xing
发表日期
2019-01-02
DOI
发表期刊
ISSN
1054-3406
EISSN
1520-5711
卷号29期号:1页码:203-225
摘要
In stratified bilateral studies, responses from two paired body parts are correlated. Confidence intervals (CIs), which reveal various features of the data, should take the correlations into account. In this article, five CI methods (sample-size weighted naive Maximum likelihood estimation (MLE)-based Wald-type CI, complete MLE-based Wald-type CI, profile likelihood CI, MLE-based score CI and pooled MLE-based Wald-type CI) are derived for proportion ratios under the assumption of equal correlation coefficient within each stratum. Monte Carlo simulation shows that the complete MLE-based Wald-type CI approach generally produces the shortest mean interval width and satisfactory empirical coverage probability with close form solution; while the profile likelihood CI and the MLE-based score CI provide preferred ratio of non coverage probability and are more symmetric. Two real examples are used to demonstrate the performance of the proposed methods.
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语种
英语
学校署名
其他
WOS研究方向
Pharmacology & Pharmacy ; Mathematics
WOS类目
Pharmacology & Pharmacy ; Statistics & Probability
WOS记录号
WOS:000454518600012
出版者
来源库
Web of Science
引用统计
被引频次[WOS]:5
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/26642
专题理学院_数学系
工学院_材料科学与工程系
作者单位
1.SUNY Buffalo, Dept Biostat, 3435 Main St, Buffalo, NY 14214 USA
2.Southern Univ Sci & Technol, Dept Math, Shenzhen, Guangdong, Peoples R China
推荐引用方式
GB/T 7714
Zhuang, Tingting,Tian, Guo-Liang,Ma, Chang-Xing. Confidence intervals for proportion ratios of stratified correlated bilateral data[J]. Journal of Biopharmaceutical Statistics,2019,29(1):203-225.
APA
Zhuang, Tingting,Tian, Guo-Liang,&Ma, Chang-Xing.(2019).Confidence intervals for proportion ratios of stratified correlated bilateral data.Journal of Biopharmaceutical Statistics,29(1),203-225.
MLA
Zhuang, Tingting,et al."Confidence intervals for proportion ratios of stratified correlated bilateral data".Journal of Biopharmaceutical Statistics 29.1(2019):203-225.
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