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Non-parametric quantile estimate for length-biased and right-censored data with competing risks 期刊论文
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2018, 卷号: 47, 期号: 10, 页码: 2407-2424
作者:  Zhang, Feipeng;  Zhou, Yong
收藏  |  浏览/下载：173/0  |  提交时间：2018/07/30
Competing risks  Cumulative incidence function  Length-biased and right-censored data  Quantile  
Pseudo-likelihood for case-cohort studies under length-biased sampling 期刊论文
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2017, 卷号: 46, 期号: 1, 页码: 28-48
作者:  Ma, Huijuan;  Zhou, Yong
收藏  |  浏览/下载：99/0  |  提交时间：2018/07/30
Case-cohort design  Length-biased sampling  Proportional hazards  Pseudo-likelihood  
Semiparametric varying-coefficient model with right-censored and length-biased data 期刊论文
JOURNAL OF MULTIVARIATE ANALYSIS, 2016, 卷号: 152, 页码: 119-144
作者:  Lin, Cunjie;  Zhou, Yong
收藏  |  浏览/下载：121/0  |  提交时间：2018/07/30
Length-biased data  Local linear regression  Right-censored  Semiparametric varying-coefficient model  
Semiparametric transformation models with length-biased and right-censored data under the case-cohort design 期刊论文
STATISTICS AND ITS INTERFACE, 2016, 卷号: 9, 期号: 2, 页码: 213-222
作者:  Ma, Huijuan;  Qiu, Zhiping;  Zhou, Yong
收藏  |  浏览/下载：110/0  |  提交时间：2018/07/30
Case-cohort design  Length biased and right-censored data  Mean zero process  Transformation model  Weighted estimating equation  
Quantile residual lifetime with right-censored and length-biased data 期刊论文
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2015, 卷号: 67, 期号: 5, 页码: 999-1028
作者:  Liu, Peng;  Wang, Yixin;  Zhou, Yong
收藏  |  浏览/下载：102/0  |  提交时间：2018/07/30
Right-censored length-biased data  Quantile residual lifetime model  Oscars Award data  Two-sample problem  Empirical processes  
The strong representation for the nonparametric estimator of length-biased and right-censored data 期刊论文
STATISTICS & PROBABILITY LETTERS, 2015, 卷号: 104, 页码: 49-57
作者:  Shi, Jianhua;  Chen, Xiaoping;  Zhou, Yong
收藏  |  浏览/下载：104/0  |  提交时间：2018/07/30
Truncated data  Strong representation  Length-biased  Right-censored