Adaptive Lasso for Cox's proportional hazards model HH Zhang, W Lu Biometrika 94 (3), 691-703, 2007 | 739 | 2007 |
Variable selection for optimal treatment decision W Lu, HH Zhang, D Zeng Statistical methods in medical research 22 (5), 493-504, 2013 | 204 | 2013 |
On semiparametric transformation cure models W Lu, Z Ying Biometrika 91 (2), 331-343, 2004 | 197 | 2004 |
Censored rank independence screening for high-dimensional survival data R Song, W Lu, S Ma, X Jessie Jeng Biometrika 101 (4), 799-814, 2014 | 125 | 2014 |
Joint modeling and analysis of longitudinal data with informative observation times Y Liang, W Lu, Z Ying Biometrics 65 (2), 377-384, 2009 | 123 | 2009 |
High-dimensional A-learning for optimal dynamic treatment regimes C Shi, A Fan, R Song, W Lu Annals of statistics 46 (3), 925, 2018 | 110 | 2018 |
Maximum likelihood estimation in the proportional hazards cure model W Lu Annals of the Institute of Statistical Mathematics 60, 545-574, 2008 | 105 | 2008 |
A fast radio burst source at a complex magnetized site in a barred galaxy H Xu, JR Niu, P Chen, KJ Lee, WW Zhu, S Dong, B Zhang, JC Jiang, ... Nature 609 (7928), 685-688, 2022 | 104 | 2022 |
Statistical inference of the value function for reinforcement learning in infinite-horizon settings C Shi, S Zhang, W Lu, R Song Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022 | 95 | 2022 |
Efficient estimation for an accelerated failure time model with a cure fraction W Lu Statistica Sinica 20, 661, 2010 | 92 | 2010 |
Semiparametric transformation models for the case-cohort study W Lu, AA Tsiatis Biometrika 93 (1), 207-214, 2006 | 90 | 2006 |
On Estimation of Optimal Treatment Regimes for Maximizing t-Year Survival Probability R Jiang, W Lu, R Song, M Davidian Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017 | 79 | 2017 |
Frequency-dependent polarization of repeating fast radio bursts—implications for their origin Y Feng, D Li, YP Yang, Y Zhang, W Zhu, B Zhang, W Lu, P Wang, S Dai, ... Science 375 (6586), 1266-1270, 2022 | 76 | 2022 |
A massive data framework for M-estimators with cubic-rate C Shi, W Lu, R Song Journal of the American Statistical Association 113 (524), 1698-1709, 2018 | 74 | 2018 |
Statistical feature selection from massive data in distribution fault diagnosis Y Cai, MY Chow, W Lu, L Li IEEE Transactions on Power Systems 25 (2), 642-648, 2010 | 68 | 2010 |
Optimal treatment regimes for survival endpoints using a locally-efficient doubly-robust estimator from a classification perspective X Bai, AA Tsiatis, W Lu, R Song Lifetime data analysis 23, 585-604, 2017 | 64 | 2017 |
Concordance-assisted learning for estimating optimal individualized treatment regimes C Fan, W Lu, R Song, Y Zhou Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017 | 59 | 2017 |
Sparse estimation and inference for censored median regression JH Shows, W Lu, HH Zhang Journal of statistical planning and inference 140 (7), 1903-1917, 2010 | 59 | 2010 |
Analysis of competing risks data with missing cause of failure under additive hazards model W Lu, Y Liang Statistica Sinica, 219-234, 2008 | 59 | 2008 |
Variable selection for proportional odds model W Lu, HH Zhang Statistics in medicine 26 (20), 3771-3781, 2007 | 56 | 2007 |