| Semiparametric inverse propensity weighting for nonignorable missing data J Shao, L Wang Biometrika 103 (1), 175-187, 2016 | 122 | 2016 |
| Communication-efficient estimation of high-dimensional quantile regression L Wang, H Lian Analysis and Applications 18 (06), 1057-1075, 2020 | 17 | 2020 |
| Smoothed empirical likelihood inference and variable selection for quantile regression with nonignorable missing response T Zhang, L Wang Computational Statistics & Data Analysis 144, 106888, 2020 | 16 | 2020 |
| Sufficient dimension reduction and instrument search for data with nonignorable nonresponse P Zhao, L Wang, J Shao | 13 | 2021 |
| Model‐Assisted Regression Estimators for Longitudinal Data with Nonignorable Dropout L Wang, C Qi, J Shao International Statistical Review 87, S121-S138, 2019 | 13 | 2019 |
| CUSUM chart for detecting range shifts when monotonicity of likelihood ratio is invalid G Liu, X Pu, L Wang, D Xiang Journal of Applied Statistics 42 (8), 1635-1644, 2015 | 13 | 2015 |
| Generalized Regression Estimators with High-Dimensional Covariates T Ta, J Shao, Q Li, L Wang | 12* | |
| Propensity model selection with nonignorable nonresponse and instrument variable L Wang, J Shao, F Fang Statistica Sinica 31 (2), 647-672, 2021 | 10 | 2021 |
| Resampling calibrated adjusted empirical likelihood L Wang, J Chen, X Pu Canadian Journal of Statistics 43 (1), 42-59, 2015 | 10 | 2015 |
| Multiple robustness estimation in causal inference L Wang Communications in Statistics-Theory and Methods 48 (23), 5701-5718, 2019 | 8 | 2019 |
| Empirical likelihood and Wilks phenomenon for data with nonignorable missing values P Zhao, L Wang, J Shao Scandinavian Journal of Statistics 46 (4), 1003-1024, 2019 | 7 | 2019 |
| Analysis of longitudinal data under nonignorable nonmonotone nonresponse P Zhao, L Wang, J Shao Statistics and its Interface 11 (2), 265-279, 2018 | 7 | 2018 |
| Optimal subsampling for composite quantile regression model in massive data Y Shao, L Wang Statistical Papers 63 (4), 1139-1161, 2022 | 6 | 2022 |
| Impact of sufficient dimension reduction in nonparametric estimation of causal effect Y Zhang, J Shao, M Yu, L Wang Statistical Theory and Related Fields 2 (1), 89-95, 2018 | 5 | 2018 |
| Sequential LND sensitivity test for binary response data L Wang, Y Liu, W Wu, X Pu Journal of Applied Statistics 40 (11), 2372-2384, 2013 | 5 | 2013 |
| Communication-efficient sparse composite quantile regression for distributed data Y Yang, L Wang Metrika 86 (3), 261-283, 2023 | 4 | 2023 |
| Communication‐efficient estimation and inference for high‐dimensional quantile regression based on smoothed decorrelated score F Di, L Wang, H Lian Statistics in medicine 41 (25), 5084-5101, 2022 | 4 | 2022 |
| Estimation and inference for multikink expectile regression with longitudinal data D Li, L Wang, W Zhao Statistics in Medicine 41 (7), 1296-1313, 2022 | 4 | 2022 |
| Improved empirical likelihood inference and variable selection for generalized linear models with longitudinal nonignorable dropouts L Wang, W Ma Annals of the Institute of Statistical Mathematics 73, 623-647, 2021 | 4 | 2021 |
| Semiparametric estimation of copula models with nonignorable missing data F Guo, W Ma, L Wang Journal of Nonparametric Statistics 32 (1), 109-130, 2020 | 4 | 2020 |
