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A beyond multiple robust approach for missing response problem 期刊论文
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2021, 卷号: 155, 页码: 13
Authors:  Wang, Qihua;  Su, Miaomiao;  Wang, Ruoyu
Favorite  |  View/Download:2/0  |  Submit date:2021/04/26
Model misspecification  Curse of dimension  Inverse probability weight  Imputation  
Feature screening under missing indicator imputation with non-ignorable missing response 期刊论文
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2020, 卷号: 149, 页码: 12
Authors:  Zhang, Jing;  Wang, Qihua;  Kang, Jian
Favorite  |  View/Download:42/0  |  Submit date:2020/06/30
Model-free  Non-ignorable nonresponse  Sure screening property  Ultrahigh dimensionality  Variable screening  
An embedded estimating equation for the additive risk model with biased-sampling data 期刊论文
SCIENCE CHINA-MATHEMATICS, 2018, 卷号: 61, 期号: 8, 页码: 1495-1518
Authors:  Zhang, Feipeng;  Zhao, Xingqiu;  Zhou, Yong
Favorite  |  View/Download:26/0  |  Submit date:2018/09/08
additive risk model  biased-sampling data  missing covariates  estimating equation  model checking  
How to Make Model-free Feature Screening Approaches for Full Data Applicable to the Case of Missing Response? 期刊论文
SCANDINAVIAN JOURNAL OF STATISTICS, 2018, 卷号: 45, 期号: 2, 页码: 324-346
Authors:  Wang, Qihua;  Li, Yongjin
Favorite  |  View/Download:32/0  |  Submit date:2018/07/30
borrowing missingness information  missing data  ultrahigh dimensionality  variable screening  
Dimension reduction estimation for probability density with data missing at random when covariables are present 期刊论文
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2017, 卷号: 181, 页码: 11-29
Authors:  Deng, Jianqiu;  Wang, Qihua
Favorite  |  View/Download:20/0  |  Submit date:2018/07/30
Kernel density estimation  Kernel regression  Dimension reduction  Missing at random  Asymptotic normality  
Mean response estimation with missing response in the presence of high-dimensional covariates 期刊论文
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2017, 卷号: 46, 期号: 2, 页码: 628-643
Authors:  Li, Yongjin;  Wang, Qihua;  Zhu, Liping;  Ding, Xiaobo
Favorite  |  View/Download:14/0  |  Submit date:2018/07/30
Central mean subspace  Imputation  Kernel regression  Missing response  Weighted-bandwidth  
A resampling method by perturbing the estimating functions for quantile regression with missing data 期刊论文
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2017, 卷号: 46, 期号: 8, 页码: 6661-6671
Authors:  Zhang, Li;  Lin, Cunjie;  Zhou, Yong
Favorite  |  View/Download:12/0  |  Submit date:2018/07/30
Bootstrap  Estimating equations  Missing data  Resampling method  Quantile regression  
Efficient Quantile Regression Analysis With Missing Observations 期刊论文
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2015, 卷号: 110, 期号: 510, 页码: 723-741
Authors:  Chen, Xuerong;  Wan, Alan T. K.;  Zhou, Yong
Favorite  |  View/Download:13/0  |  Submit date:2018/07/30
Estimating equations  Missing at random  Resampling method  Semiparametric efficient  
Model checking for a general linear model with nonignorable missing covariates 期刊论文
ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES, 2012, 卷号: 28, 期号: 1, 页码: 99-110
Authors:  Sun Zhihua;  Ip WaiCheung;  Wong Heung
Favorite  |  View/Download:0/0  |  Submit date:2021/01/14
REGRESSION  general linear model  model checking  nonignorable missing covariates  sensitivity analysis  
Empirical likelihood calibration estimation for the median treatment difference in observational studies 期刊论文
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2011, 卷号: 55, 期号: 4, 页码: 1596-1609
Authors:  Wang, Qihua;  Lai, Peng
Favorite  |  View/Download:18/0  |  Submit date:2018/07/30
Calibration  Casual inference  Empirical likelihood  Median treatment effect  Missing data  Selection bias