CSpace

浏览/检索结果: 共6条,第1-6条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Fusion-Refinement Procedure for Dimension Reduction With Missing Response at Random 期刊论文
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2011, 卷号: 106, 期号: 495, 页码: 1193-1207
作者:  Ding, Xiaobo;  Wang, Qihua
收藏  |  浏览/下载:141/0  |  提交时间:2018/07/30
Central subspace  Complete-case analysis  Data-driven  Imputation  
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
作者:  Wang, Qihua;  Lai, Peng
收藏  |  浏览/下载:127/0  |  提交时间:2018/07/30
Calibration  Casual inference  Empirical likelihood  Median treatment effect  Missing data  Selection bias  
Linear regression analysis of survival data with missing censoring indicators 期刊论文
LIFETIME DATA ANALYSIS, 2011, 卷号: 17, 期号: 2, 页码: 256-279
作者:  Wang, Qihua;  Dinse, Gregg E.
收藏  |  浏览/下载:143/0  |  提交时间:2018/07/30
Asymptotic normality  Censoring indicator  Imputation  Inverse probability weighting  Least squares  Missing at random  Regression calibration  
Partially linear single-index model with missing responses at random 期刊论文
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2011, 卷号: 141, 期号: 2, 页码: 1047-1058
作者:  Lai, Peng;  Wang, Qihua
收藏  |  浏览/下载:127/0  |  提交时间:2018/07/30
Single-index model  Semiparametric models  Imputation estimator  Local linear smooth  Bandwidth selection  
Semiparametric analysis based on weighted estimating equations for transformation models with missing covariates 期刊论文
JOURNAL OF MULTIVARIATE ANALYSIS, 2010, 卷号: 101, 期号: 9, 页码: 2078-2090
作者:  Huang, Bin;  Wang, Qihua
收藏  |  浏览/下载:124/0  |  提交时间:2018/07/30
Transformation models  Missing covariates  Weighted estimator  Kernel smoothing  
Empirical likelihood confidence bands for distribution functions with missing responses 期刊论文
JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2010, 卷号: 140, 期号: 9, 页码: 2778-2789
作者:  Wang, Qihua;  Qin, Yongsong
收藏  |  浏览/下载:126/0  |  提交时间:2018/07/30
Imputation  Inverse probability weighting  Confidence bands  Empirical likelihood  Missing at random