Wenbin Lu

发表

Modeling Scheme of Supervisory Control System for Electric Vehicle Charging Station Based on IEC61850

Shuguang Liu, Wenbin Lu, Huawei Xie, 2016 .

Semiparametric Single-Index Model for Estimating Optimal Individualized Treatment Strategy.

Shikai Luo, Wenbin Lu, Donglin Zeng, 2017, Electronic journal of statistics.

Association Tests Using Copy Number Profile Curves (CONCUR) Enhances Power in Rare Copy Number Variant Analysis

Chuhsing Kate Hsiao, Patrick F. Sullivan, Patrik K. E. Magnusson, 2019, bioRxiv.

ANALYSIS OF COMPETING RISKS DATA WITH MISSING CAUSE OF FAILURE UNDER ADDITIVE HAZARDS MODEL

Wenbin Lu, Yu Liang, Wenbin Lu, 2008 .

DOUBLY ROBUST ESTIMATION OF OPTIMAL TREATMENT REGIMES FOR SURVIVAL DATA-WITH APPLICATION TO AN HIV/AIDS STUDY.

Wenbin Lu, Michael G Hudgens, Rui Song, 2017, The annals of applied statistics.

HIGH-DIMENSIONAL A-LEARNING FOR OPTIMAL DYNAMIC TREATMENT REGIMES.

Chengchun Shi, Wenbin Lu, Rui Song, 2018, Annals of statistics.

Haplotype-Based Pharmacogenetic Analysis for Longitudinal Quantitative Traits in the Presence of Dropout

Jung-Ying Tzeng, Wenbin Lu, Mark W Farmen, 2010, Journal of biopharmaceutical statistics.

A Model-Free Machine Learning Method for Risk Classification and Survival Probability Prediction.

Wenbin Lu, Hao Helen Zhang, Yuan Geng, 2014, Stat.

Variable selection via penalized likelihood with adaptive penalty

Wenbin Lu, Hao Helen Zhang, Hao Helen Zhang, 2006 .

Multi-factor decision-making strategy for better coronary plaque burden increase prediction: a patient-specific 3D FSI study using IVUS follow-up data

Dalin Tang, David Molony, Habib Samady, 2019, Biomechanics and modeling in mechanobiology.

Rare Variants Association Analysis in Large-Scale Sequencing Studies at the Single Locus Level

Jung-Ying Tzeng, Wenbin Lu, X. Jessie Jeng, 2016, PLoS Comput. Biol..

On Sparse Estimation for Semiparametric Linear Transformation Models

Hansheng Wang, Wenbin Lu, Hao Helen Zhang, 2010, J. Multivar. Anal..

Variable selection for optimal treatment decision

Wenbin Lu, Donglin Zeng, Hao Helen Zhang, 2013, Statistical methods in medical research.

Identifying individual risk rare variants using protein structure-guided local tests (POINT)

Wenbin Lu, Alison A. Motsinger-Reif, Denis Fourches, 2018, bioRxiv.

A Semi-nonparametric Approach to Joint Modeling of A Primary Binary Outcome and Longitudinal Data Measured at Discrete Informative Times

Daowen Zhang, Wenbin Lu, Mengling Liu, 2012, Statistics in biosciences.

MODELING AND ESTIMATION OF CONTAGION-BASED SOCIAL NETWORK DEPENDENCE WITH TIME-TO-EVENT DATA

Wenbin Lu, Lin Yu, Danyang Huang, 2020, Statistica Sinica.

A Sparse Random Projection-Based Test for Overall Qualitative Treatment Effects

Chengchun Shi, Wenbin Lu, Rui Song, 2020, Journal of the American Statistical Association.

Sparse Concordance-assisted Learning for Optimal Treatment Decision

Lan Wang, Wenbin Lu, Rui Song, 2018, J. Mach. Learn. Res..

Estimation and selection of complex covariate effects in pooled nested case-control studies with heterogeneity.

Wenbin Lu, Vittorio Krogh, Mengling Liu, 2013, Biostatistics.

Computational Statistics and Data Analysis Sample Size Calculation for the Proportional Hazards Model with a Time-dependent Covariate

Jiajia Zhang, Wenbin Lu, Songfeng Wang, 2022 .

Modelling and estimation for optimal treatment decision with interference

Wenbin Lu, Rui Song, Lin Su, 2019, Stat.

NPHMC: An R-package for estimating sample size of proportional hazards mixture cure model

Chao Cai, Jiajia Zhang, Wenbin Lu, 2014, Comput. Methods Programs Biomed..

Testing and Estimation of Social Network Dependence With Time to Event Data

Wenbin Lu, Lin Su, Rui Song, 2019, Journal of the American Statistical Association.

Prognostics for State of Health of Lithium-Ion Batteries Based on Gaussian Process Regression

Di Zhou, Ping Fu, Wenbin Lu, 2018 .

Deep advantage learning for optimal dynamic treatment regime

Wenbin Lu, Rui Song, Shuhan Liang, 2018, Statistical theory and related fields.

EFFICIENT ESTIMATION FOR AN ACCELERATED FAILURE TIME MODEL WITH A CURE FRACTION.

Wenbin Lu, Wenbin Lu, 2010, Statistica Sinica.

Frequency offset insensitive demodulation algorithm for satellite-based automatic identification system

Wenbin Lu, Hui Gu, Haosu Zhou, 2019, Int. J. Satell. Commun. Netw..

Forward Stagewise Shrinkage and Addition for High Dimensional Censored Regression

Lexin Li, Wenbin Lu, Zifang Guo, 2015, Statistics in biosciences.

Identifying individual risk rare variants using protein structure guided local tests (POINT)

Jung-Ying Tzeng, Wenbin Lu, Alison A. Motsinger-Reif, 2019, PLoS Comput. Biol..

ON TESTING CONDITIONAL QUALITATIVE TREATMENT EFFECTS.

Chengchun Shi, Wenbin Lu, Rui Song, 2019, Annals of statistics.

Evaluation of distribution fault diagnosis algorithms using ROC curves

Lexin Li, Wenbin Lu, Mo-Yuen Chow, 2010, IEEE PES General Meeting.

Variance estimation in censored quantile regression via induced smoothing

Lei Pang, Huixia Judy Wang, Wenbin Lu, 2012, Comput. Stat. Data Anal..

MOMENT-BASED METHOD FOR RANDOM EFFECTS SELECTION IN LINEAR MIXED MODELS.

Wenbin Lu, Hao Helen Zhang, Mihye Ahn, 2012, Statistica Sinica.

A Semiparametric Marginalized Model for Longitudinal Data with Informative Dropout.

Wenbin Lu, Mengling Liu, 2012, Journal of probability and statistics.

Determining the Number of Latent Factors in Statistical Multi-Relational Learning

Chengchun Shi, Wenbin Lu, Rui Song, 2019, J. Mach. Learn. Res..

Association test using Copy Number Profile Curves (CONCUR) enhances power in rare copy number variant analysis

Patrick F. Sullivan, Jung-Ying Tzeng, Tzu-Pin Lu, 2020, PLoS Comput. Biol..

Efficient estimation for accelerated failure time model under case-cohort and nested case-control sampling.

Wenbin Lu, Mengling Liu, Suhyun Kang, 2017, Biometrics.

Statistical Feature Selection From Massive Data in Distribution Fault Diagnosis

Lexin Li, Wenbin Lu, Mo-Yuen Chow, 2010, IEEE Transactions on Power Systems.

A Massive Data Framework for M-Estimators with Cubic-Rate

Chengchun Shi, Wenbin Lu, Rui Song, 2016, Journal of the American Statistical Association.

fastLASSO: Variable Selection in Kernel Machine Modeling for Cross Disorder Analysis

Wenbin Lu, Jung-Ying Tzeng, Rachel Marceau, 2017 .

Joint Models and Their Applications

Yangxin Huang, Lang Wu, Wenbin Lu, 2012 .

Gene-set integrative analysis of multi-omics data using tensor-based association test

Jung-Ying Tzeng, Wenbin Lu, Hung Hung, 2021, Bioinform..

GEAR: On optimal decision making with auxiliary data

Hengrui Cai, Rui Song, Wenbin Lu, 2021, Stat.

CODA: Calibrated Optimal Decision Making with Multiple Data Sources and Limited Outcome

Hengrui Cai, Rui Song, Wenbin Lu, 2021 .

Testing error heterogeneity in censored linear regression

Wenbin Lu, Yong Zhou, Caiyun Fan, 2021, Comput. Stat. Data Anal..

Semiparametric estimation for proportional hazards mixture cure model allowing non-curable competing risk

Yincai Tang, Wenbin Lu, Chao Cai, 2021 .

CAPITAL: Optimal Subgroup Identification via Constrained Policy Tree Search pdf

Wenbin Lu, Rachel Marceau West, Devan V. Mehrotra, 2021, ArXiv.

UCX Programming Interface for Remote Function Injection and Invocation pdf

Pavel Shamis, Wenbin Lu, Steve Poole, 2021, ArXiv.

ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning

Hengrui Cai, Rui Song, Wenbin Lu, 2021, ICLR.

On estimating optimal regime for treatment initiation time based on restricted mean residual lifetime

Wenbin Lu, Rui Song, Xin Chen, 2021, Biometrics.

Efficient Estimation for Dimension Reduction with Censored Survival Data

Wenbin Lu, Yanyuan Ma, Ge Zhao, 2022 .

Statistical Inference for High-Dimensional Models via Recursive Online-Score Estimation

Runze Li, Chengchun Shi, Rui Song, 2020, Journal of the American Statistical Association.

Online Testing of Subgroup Treatment Effects Based on Value Difference

Wenbin Lu, Rui Song, Miao Yu, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

Post-Lasso Inference for High-Dimensional Regression

Wenbin Lu, Huimin Peng, X. Jessie Jeng, 2018, 1806.06304.

On semiparametric transformation cure models

Zhiliang Ying, Wenbin Lu, Z. Ying, 2004 .

On optimal treatment regimes selection for mean survival time

Wenbin Lu, Hao Helen Zhang, Wenbin Lu, 2015, Statistics in medicine.

Accelerated intensity frailty model for recurrent events data.

Bo Liu, Wenbin Lu, Jiajia Zhang, 2014, Biometrics.

Cox regression model with time-varying coefficients in nested case-control studies.

Wenbin Lu, Mengling Liu, Anne Zeleniuch-Jacquotte, 2010, Biostatistics.

Subgroup detection and sample size calculation with proportional hazards regression for survival data

Rui Song, Wenbin Lu, Suhyun Kang, 2017, Statistics in medicine.

Maximum likelihood estimation in the proportional hazards cure model

Wenbin Lu, Wenbin Lu, 2008 .

On estimation of optimal treatment regimes for maximizing t‐year survival probability

Wenbin Lu, Marie Davidian, Rui Song, 2014, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Jets from Tidal Disruption Events

Wenbin Lu, Fabio De Colle, Wenbin Lu, 2019, New Astronomy Reviews.

Sufficient Dimension Reduction for Censored Regressions

Wenbin Lu, Lexin Li, Wenbin Lu, 2011, Biometrics.

JOINT STRUCTURE SELECTION AND ESTIMATION IN THE TIME-VARYING COEFFICIENT COX MODEL.

Wenbin Lu, Wei Xiao, Hao Helen Zhang, 2016, Statistica Sinica.

Robust learning for optimal treatment decision with NP-dimensionality.

Chengchun Shi, Wenbin Lu, Rui Song, 2015, Electronic journal of statistics.

On estimation of linear transformation models with nested case–control sampling

Wenbin Lu, Mengling Liu, Wenbin Lu, 2011, Lifetime Data Analysis.

Empirical likelihood inference for linear transformation models

Wenbin Lu, Wenbin Lu, Yu Liang, 2006 .

Sequential advantage selection for optimal treatment regime.

Wenbin Lu, Rui Song, Wenbin Lu, 2014, The annals of applied statistics.

Joint Modeling and Analysis of Longitudinal Data with Informative Observation Times

Yu Liang, Zhiliang Ying, Wenbin Lu, 2009, Biometrics.

Sufficient Dimension Reduction With Missing Predictors

Wenbin Lu, Lexin Li, 2008 .

Computationally Efficient Estimation for the Generalized Odds Rate Mixture Cure Model With Interval-Censored Data

Jie Zhou, Wenbin Lu, Jiajia Zhang, 2018, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Sparse Estimation and Inference for Censored Median Regression.

Wenbin Lu, Hao Helen Zhang, Wenbin Lu, 2010, Journal of statistical planning and inference.

A Monte Carlo approach for change‐point detection in the Cox proportional hazards model

Wenbin Lu, Yongzhao Shao, Mengling Liu, 2008, Statistics in medicine.

Identification of homogeneous and heterogeneous variables in pooled cohort studies

Wenbin Lu, Mengling Liu, Wenbin Lu, 2015, Biometrics.

Maximin Projection Learning for Optimal Treatment Decision with Heterogeneous Individualized Treatment Effects.

Chengchun Shi, Wenbin Lu, Rui Song, 2018, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Censored Rank Independence Screening for High-dimensional Survival Data.

Shuangge Ma, Wenbin Lu, Rui Song, 2014, Biometrika.

On Estimation of Partially Linear Transformation Models

Wenbin Lu, Hao Helen Zhang, Wenbin Lu, 2010, Journal of the American Statistical Association.

Semiparametric transformation models for the case-cohort study

Wenbin Lu, Anastasios A. Tsiatis, A. Tsiatis, 2006 .

Atomic indium nanowires on Si(1 1 1): the (4 × 1)–(8 × 2) phase transition studied with reflectance anisotropy spectroscopy

Wenbin Lu, Jerry Bernholc, Wolf Gero Schmidt, 2004 .

Cox Regression in Nested Case–Control Studies with Auxiliary Covariates

Wenbin Lu, Chi-Hong Tseng, Mengling Liu, 2010, Biometrics.

Concordance‐assisted learning for estimating optimal individualized treatment regimes

Wenbin Lu, Yong Zhou, Rui Song, 2017, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Optimal treatment regimes for survival endpoints using a locally-efficient doubly-robust estimator from a classification perspective

Wenbin Lu, Anastasios A Tsiatis, Rui Song, 2017, Lifetime data analysis.

Variable selection for proportional odds model

Wenbin Lu, Hao Helen Zhang, Wenbin Lu, 2006 .

An Expectation Maximization algorithm for fitting the generalized odds‐rate model to interval censored data

Jie Zhou, Wenbin Lu, Jiajia Zhang, 2017, Statistics in medicine.

Groupwise Dimension Reduction via Envelope Method

Wenbin Lu, Lexin Li, Bing Li, 2015, Journal of the American Statistical Association.

Change-Plane Analysis for Subgroup Detection and Sample Size Calculation

Wenbin Lu, Rui Song, Wenbin Lu, 2017, Journal of the American Statistical Association.

A Unified Approach to Semiparametric Transformation Models Under General Biased Sampling Schemes

Zhiliang Ying, Wenbin Lu, Tony Sit, 2013, Journal of the American Statistical Association.

Boosting method for nonlinear transformation models with censored survival data.

Wenbin Lu, Lexin Li, Wenbin Lu, 2008, Biostatistics.