Wenbin Lu

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Rui SongNorth Carolina State UniversityVerifisert e-postadresse på ncsu.edu
Hao Helen ZhangUniversity of ArizonaVerifisert e-postadresse på math.arizona.edu
Jiajia ZhangDepartment of Epidemiology and Biostatistics, University of South CarolinaVerifisert e-postadresse på mailbox.sc.edu
Jung-Ying TzengProfessor, Department of Statistics and Bioinformatics Research Center, North Carolina StateVerifisert e-postadresse på ncsu.edu
Lexin LiProfessor of Biostatistics, University of California, BerkeleyVerifisert e-postadresse på berkeley.edu
Xinge Jessie JengAssociate Professor, Statistics Department at NCSUVerifisert e-postadresse på ncsu.edu
zhiliang yingprofessor of statistics, columbia universityVerifisert e-postadresse på stat.columbia.edu
Huixia Judy WangGeorge Washington UniversityVerifisert e-postadresse på email.gwu.edu
Yair GoldbergTechnion – Israel Institute of TechnologyVerifisert e-postadresse på technion.ac.il
Michael C. WuProfessor, Public Health Sciences Divison, Fred Hutchinson Cancer CenterVerifisert e-postadresse på fredhutch.org
Jianwen CaiCary C. Boshamer Distinguished Professor of Biostatistics, University of North Carolina-Chapel HillVerifisert e-postadresse på bios.unc.edu
Jane Paik KimStanford University School of MedicineVerifisert e-postadresse på stanford.edu
Tony SitThe Chinese University of Hong KongVerifisert e-postadresse på sta.cuhk.edu.hk
Hansheng WangGuanghua School of Management, Peking UniversityVerifisert e-postadresse på gsm.pku.edu.cn
Mihye AhnUniversity of Nevada, RenoVerifisert e-postadresse på unr.edu
Michael G HudgensProfessor of Biostatistics, University of North CarolinaVerifisert e-postadresse på bios.unc.edu

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Wenbin Lu

Professor of Statistics, North Carolina State University

Verifisert e-postadresse på ncsu.edu - Startside

biostatistics semiparametric/nonparametric inference high dimensional data analysis machine learning reinforcement learning


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
Adaptive Lasso for Cox's proportional hazards model HH Zhang, W Lu Biometrika 94 (3), 691-703, 2007	758	2007
Variable selection for optimal treatment decision W Lu, HH Zhang, D Zeng Statistical methods in medical research 22 (5), 493-504, 2013	220	2013
On semiparametric transformation cure models W Lu, Z Ying Biometrika 91 (2), 331-343, 2004	201	2004
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	141	2022
Censored rank independence screening for high-dimensional survival data R Song, W Lu, S Ma, X Jessie Jeng Biometrika 101 (4), 799-814, 2014	134	2014
Joint modeling and analysis of longitudinal data with informative observation times Y Liang, W Lu, Z Ying Biometrics 65 (2), 377-384, 2009	128	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	127	2018
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	109	2022
Maximum likelihood estimation in the proportional hazards cure model W Lu Annals of the Institute of Statistical Mathematics 60, 545-574, 2008	107	2008
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	105	2022
Semiparametric transformation models for the case-cohort study W Lu, AA Tsiatis Biometrika 93 (1), 207-214, 2006	93	2006
Efficient estimation for an accelerated failure time model with a cure fraction W Lu Statistica Sinica 20, 661, 2010	91	2010
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	83	2018
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	83	2017
A very luminous jet from the disruption of a star by a massive black hole I Andreoni, MW Coughlin, DA Perley, Y Yao, W Lu, SB Cenko, H Kumar, ... Nature 612 (7940), 430-434, 2022	79	2022
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	71	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	67	2017
The panchromatic afterglow of GW170817: the full uniform data set, modeling, comparison with previous results, and implications S Makhathini, KP Mooley, M Brightman, K Hotokezaka, AJ Nayana, ... The Astrophysical Journal 922 (2), 154, 2021	66	2021
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	65	2017
Quasi-periodic eruptions from mildly eccentric unstable mass transfer in galactic nuclei W Lu, E Quataert Monthly Notices of the Royal Astronomical Society 524 (4), 6247-6266, 2023	61	2023

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