发表状态 | 已发表Published |
题名 | Nonparametric and semiparametric estimation of quantile residual lifetime for length-biased and right-censored data |
作者 | |
发表日期 | 2017-06 |
发表期刊 | Canadian Journal of Statistics
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ISSN/eISSN | 0319-5724 |
卷号 | 45期号:2页码:220-250 |
摘要 | Quantile residual lifetime models are often of concern in survival analysis, especially when studying a chronic or irreversible disease like dementia. In the past several decades residual life models have been studied extensively with right-censored survival data. However these methods are not suitable to analyze the length-biased and right-censored data from the prevalent cohort sampling. In this article we propose nonparametric and semiparametric model-based procedures to estimate the quantile residual lifetime with censored length-biased data. Two test statistics are established for comparing the quantile residual lifetimes of two groups, evaluated, respectively, on ratio and difference in terms of type I error probabilities and powers. Some simulations are conducted to compare the proposed method with existing approaches. Real dementia data from the National Alzheimer's Coordinating Center are used to illustrate the proposed estimation methods by estimating the quantile residual lifetimes of the dementia patients. The Canadian Journal of Statistics 45: 220–250; 2017 © 2017 Statistical Society of Canada. |
关键词 | Cox model length-bias MSC 2010: Primary 62N01 quantile residual lifetime model right-censoring secondary 62N02 |
DOI | 10.1002/cjs.11319 |
URL | 查看来源 |
收录类别 | SCIE |
语种 | 英语English |
WOS研究方向 | Mathematics |
WOS类目 | Statistics & Probability |
WOS记录号 | WOS:000400027400006 |
Scopus入藏号 | 2-s2.0-85018263975 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/6359 |
专题 | 理工科技学院 |
通讯作者 | Zhou, Yong |
作者单位 | 1.Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing,100190,China 2.School of Statistics and Management,Shanghai University of Finance and Economics,Shanghai,200433,China 3.Beijing Normal University-Hong Kong Baptist University,United International College,Zhuhai,519085,China 4.Department of Biostatistics,University of Washington,Seattle,98195,United States 5.Biostatistics Unit,U.S. Department of Veterans Affairs Seattle Medical Center,Seattle,98104,United States |
推荐引用方式 GB/T 7714 | Wang, Yixin,Zhou, Sherry Zhefang,Zhou, Xiaohuaet al. Nonparametric and semiparametric estimation of quantile residual lifetime for length-biased and right-censored data[J]. Canadian Journal of Statistics, 2017, 45(2): 220-250. |
APA | Wang, Yixin, Zhou, Sherry Zhefang, Zhou, Xiaohua, & Zhou, Yong. (2017). Nonparametric and semiparametric estimation of quantile residual lifetime for length-biased and right-censored data. Canadian Journal of Statistics, 45(2), 220-250. |
MLA | Wang, Yixin,et al."Nonparametric and semiparametric estimation of quantile residual lifetime for length-biased and right-censored data". Canadian Journal of Statistics 45.2(2017): 220-250. |
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