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Variable selection for random effects two-part models 期刊论文
STATISTICAL METHODS IN MEDICAL RESEARCH, 2019, 卷号: 28, 期号: 9, 页码: 2697-2709
Authors:  Han, Dongxiao;  Liu, Lei;  Su, Xiaogang;  Johnson, Bankole;  Sun, Liuquan
Favorite  |  View/Download:54/0  |  Submit date:2020/01/10
High dimensional  mixed effects  pharmacogenetics  precision medicine  tuning parameter  variable selection  
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:48/0  |  Submit date:2018/07/30
borrowing missingness information  missing data  ultrahigh dimensionality  variable screening  
ORACLE INEQUALITIES AND SELECTION CONSISTENCY FOR WEIGHTED LASSO IN HIGH-DIMENSIONAL ADDITIVE HAZARDS MODEL 期刊论文
STATISTICA SINICA, 2017, 卷号: 27, 期号: 4, 页码: 1903-1920
Authors:  Zhang, Haixiang;  Sun, Liuquan;  Zhou, Yong;  Huang, Jian
Favorite  |  View/Download:26/0  |  Submit date:2018/07/30
High-dimensional covariates  oracle inequalities  sign consistency  survival analysis  variable selection  
Semi-parametric inference for semi-varying coefficient panel data model with individual effects 期刊论文
JOURNAL OF MULTIVARIATE ANALYSIS, 2017, 卷号: 154, 页码: 262-281
Authors:  Hu, Xuemei
Favorite  |  View/Download:7/0  |  Submit date:2018/07/30
Panel data  Fixed effects  Random effects  Local linear smoothing  Semi-varying coefficient model  Bootstrap procedure  
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:34/0  |  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:19/0  |  Submit date:2018/07/30
Central mean subspace  Imputation  Kernel regression  Missing response  Weighted-bandwidth  
Jackknife empirical likelihood test for high-dimensional regression coefficients 期刊论文
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2016, 卷号: 94, 页码: 302-316
Authors:  Zang, Yangguang;  Zhang, Sanguo;  Li, Qizhai;  Zhang, Qingzhao
Favorite  |  View/Download:15/0  |  Submit date:2018/07/30
Jackknife empirical likelihood  High-dimensional analysis  Regression coefficients  Partial test with nuisance parameter  Power  Type-I error rate