题名 | Asymptotic confidence interval construction for proportion ratio based on correlated paired data |
作者 | |
发表日期 | 2019
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DOI | |
发表期刊 | |
ISSN | 1054-3406
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EISSN | 1520-5711
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卷号 | 29期号:6页码:1137-1152 |
摘要 | In ophthalmological and otolaryngology studies, measurements obtained from both organs (e.g., eyes or ears) of an individual are often highly correlated. Ignoring the intraclass correlation between paired measurements may yield biased inferences. In this article, four different confidence interval (CI) construction methods (maximum likelihood estimates based Wald-type CI, profile likelihood CI, asymptotic score CI and an existing method adjusted for correlated bilateral data) are applied to this type of correlated bilateral data to construct CI for proportion ratio, taking the intraclass correlation into consideration. The coverage probabilities and widths of the resulting CIs are compared with each other in a Monte Carlo simulation study to evaluate their performances. A real dataset from an ophthalmologic study is used to illustrate our methodology. |
关键词 | |
相关链接 | [Scopus记录] |
收录类别 | |
语种 | 英语
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学校署名 | 其他
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WOS研究方向 | Pharmacology & Pharmacy
; Mathematics
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WOS类目 | Pharmacology & Pharmacy
; Statistics & Probability
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WOS记录号 | WOS:000531814500013
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出版者 | |
Scopus记录号 | 2-s2.0-85062470855
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来源库 | Scopus
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引用统计 |
被引频次[WOS]:4
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成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/44141 |
专题 | 理学院_数学系 |
作者单位 | 1.Department of BiostatisticsUniversity at Buffalo,Buffalo,United States 2.Department of MathematicsSouthern University of Science and Technology,Shenzhen,China |
推荐引用方式 GB/T 7714 |
Peng,Xuan,Liu,Chang,Liu,Song,et al. Asymptotic confidence interval construction for proportion ratio based on correlated paired data[J]. Journal of Biopharmaceutical Statistics,2019,29(6):1137-1152.
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APA |
Peng,Xuan,Liu,Chang,Liu,Song,&Ma,Chang Xing.(2019).Asymptotic confidence interval construction for proportion ratio based on correlated paired data.Journal of Biopharmaceutical Statistics,29(6),1137-1152.
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MLA |
Peng,Xuan,et al."Asymptotic confidence interval construction for proportion ratio based on correlated paired data".Journal of Biopharmaceutical Statistics 29.6(2019):1137-1152.
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