Runze Li

Runze Li, Stephanie T. Lanza, Megan E Piper, 2013, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

Time-varying processes involved in smoking lapse in a randomized trial of smoking cessation therapies.

Runze Li, Megan E. Piper, Stephanie T. Lanza, 2014, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

Validating E-cigarette Dependence Scales Based on Dynamic Patterns of Vaping Behaviors.

Runze Li, M. Piper, D. Jorenby, 2021, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

The association between short-term emotion dynamics and cigarette dependence: A comprehensive examination of dynamic measures.

Megan E. Piper, Runze Li, M. Piper, 2020, Drug and alcohol dependence.

Time‐varying effect models for ordinal responses with applications in substance abuse research

John J. Dziak, Runze Li, M. Zimmerman, 2014, Statistics in medicine.

Time-varying Effects of GABRG1 and Maladaptive Peer Behavior on Externalizing Behavior from Childhood to Adulthood: Testing Gene × Environment × Development Effects

Runze Li, R. Zucker, E. Trucco, 2019, Journal of Youth and Adolescence.

Nonparametric Regression of Covariance Structuresin Longitudinal Studies

Runze Li, Jianxin Pan, Huajin Ye, 2009 .

Understanding the role of cessation fatigue in the smoking cessation process.

Stephanie T. Lanza, S. A. Vasilenko, Runze Li, 2013, Drug and alcohol dependence.

Circulating Cholesterol Levels May Link to the Factors Influencing Parkinson’s Risk

Runze Li, R. Mailman, Xuemei Huang, 2017, Front. Neurol..

Estimation and inference for the mediation effect in a time-varying mediation model

Runze Li, Megan E. Piper, Donna L. Coffman, 2020, BMC Medical Research Methodology.

Modeling intensive longitudinal data with mixtures of nonparametric trajectories and time-varying effects.

Runze Li, John J Dziak, Xianming Tan, 2015, Psychological methods.

Using the Time-Varying Effect Model (TVEM) to Examine Dynamic Associations between Negative Affect and Self Confidence on Smoking Urges: Differences between Successful Quitters and Relapsers

Runze Li, Stephanie T. Lanza, Xianming Tan, 2012, Prevention Science.

Time-varying effects of smoking quantity and nicotine dependence on adolescent smoking regularity.

Arielle S. Selya, Runze Li, D. Hedeker, 2013, Drug and alcohol dependence.

Modeling complexity of EMA data: time-varying lagged effects of negative affect on smoking urges for subgroups of nicotine addiction.

Runze Li, Mariya Shiyko, Saul Shiffman, 2014, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

Functional data analysis for dynamical system identification of behavioral processes.

Runze Li, Linda M Collins, Jessica B Trail, 2014, Psychological methods.

A time‐varying effect model for examining group differences in trajectories of zero‐inflated count outcomes with applications in substance abuse research

Runze Li, R. Zucker, J. Cranford, 2017, Statistics in medicine.

Doubly Robust Feature Selection with Mean and Variance Outlier Detection and Oracle Properties

Runze Li, Francesca Chiaromonte, Marco Riani, 2021, 2106.11941.

Testing a Single Regression Coefficient in High Dimensional Regression Model

Runze Li, Chih-Ling Tsai, Hansheng Wang, 2016 .

Examining measurement reactivity in daily diary data on substance use: Results from a randomized experiment.

Runze Li, M. Zimmerman, R. Cunningham, 2019, Addictive behaviors.

Variable selection and inference procedures for marginal analysis of longitudinal data with missing observations and covariate measurement error

Runze Li, Xianming Tan, G. Yi, 2015, The Canadian journal of statistics = Revue canadienne de statistique.

Linear Hypothesis Testing in Linear Models With High-Dimensional Responses.

Changcheng Li Runze Li, Runze Li, Changcheng Li, 2021, Journal of the American Statistical Association.

SEMIPARAMETRIC ESTIMATION OF CONDITIONAL HETEROSCEDASTICITY VIA SINGLE-INDEX MODELING.

Runze Li, Liping Zhu, Yuexiao Dong, 2013, Statistica Sinica.

Testing multivariate uniformity and its applications

Fred J. Hickernell, Runze Li, Kai-Tai Fang, 2001, Math. Comput..

Statistical methods for evaluating the correlation between timeline follow-back data and daily process data with applications to research on alcohol and marijuana use.

Runze Li, M. Zimmerman, R. Cunningham, 2019, Addictive Behaviours.

Recent History Functional Linear Models for Sparse Longitudinal Data.

Runze Li, Damla Sentürk, Kion Kim, 2011, Journal of statistical planning and inference.

Prediction-based Termination Rule for Greedy Learning with Massive Data.

Runze Li, Chen Xu, Jian Fang, 2016, Statistica Sinica.

An effective algorithm for generation of factorial designs with generalized minimum aberration

Aijun Zhang, Runze Li, Kai-Tai Fang, 2007, J. Complex..

Robust neural network with applications to credit portfolio data analysis.

Runze Li, Agus Sudjianto, Yijia Feng, 2010, Statistics and its interface.

Homogeneity tests of covariance matrices with high-dimensional longitudinal data.

Runze Li, Pingshou Zhong, Shawn Santo, 2019, Biometrika.

A High-Dimensional Nonparametric Multivariate Test for Mean Vector

Runze Li, Lan Wang, Runze Li, 2015, Journal of the American Statistical Association.

Ultrahigh-Dimensional Multiclass Linear Discriminant Analysis by Pairwise Sure Independence Screening

Runze Li, Rui Pan, Hansheng Wang, 2016, Journal of the American Statistical Association.

Variable Selection and Empirical Likelihood based Inferenc for Measurement Error Data 1

Runze Li, Hua Liang, 2006 .

Statistical inference in massive data sets

Runze Li, Bing Li, Dennis K. J. Lin, 2012 .

Folded concave penalized sparse linear regression: sparsity, statistical performance, and algorithmic theory for local solutions

Tao Yao, Runze Li, Yinyu Ye, 2017, Math. Program..

Some methods for generating both an NT-net and the uniform distribution on a Stiefel manifold and their applications

Runze Li, K. Fang, 1997 .

NEW EFFICIENT ESTIMATION AND VARIABLE SELECTION METHODS FOR SEMIPARAMETRIC VARYING-COEFFICIENT PARTIALLY LINEAR MODELS.

Runze Li, Hui Zou, H. Zou, 2011, Annals of statistics.

High-Dimensional Mediation Analysis for Selecting DNA Methylation Loci Mediating Childhood Trauma and Cortisol Stress Reactivity

Runze Li, Jingyuan Liu, Xu Guo, 2022, Journal of the American Statistical Association.

Local modal regression

Runze Li, Weixin Yao, Bruce G Lindsay, 2012, Journal of nonparametric statistics.

Estimating Mixture of Gaussian Processes by Kernel Smoothing

Hansheng Wang, Runze Li, Weixin Yao, 2013, Journal of business & economic statistics : a publication of the American Statistical Association.

Two‐stage model for time varying effects of zero‐inflated count longitudinal covariates with applications in health behaviour research

Runze Li, Anne Buu, Hanyu Yang, 2016, Journal of the Royal Statistical Society. Series C, Applied statistics.

Statistical models for longitudinal zero‐inflated count data with applications to the substance abuse field

Runze Li, Anne Buu, Xianming Tan, 2012, Statistics in medicine.

Comment: Feature Screening and Variable Selection via Iterative Ridge Regression

Runze Li, Jianqing Fan, Jianqing Fan, 2020, Technometrics.

A NEW APPROACH FOR TESTING SYMMETRY OF A HIGH-DIMENSIONAL DISTRIBUTION*

Runze Li, K. Fang, Lixing Zhu, 2007 .

New variable selection methods for zero‐inflated count data with applications to the substance abuse field

Runze Li, Anne Buu, Xianming Tan, 2011, Statistics in medicine.

Introduction to Nonparametric Regression

Runze Li, Runze Li, 2006, Technometrics.

Challenges and Opportunities in Collecting and Modeling Ambulatory Electrodermal Activity Data

Runze Li, Xizhen Cai, Donna L Coffman, 2019, JMIR biomedical engineering.

Uncovering Multiple Pathways to Substance Use: A Comparison of Methods for Identifying Population Subgroups

Runze Li, Xianming Tan, Jennifer Rose, 2010, The Journal of Primary Prevention.

Developmental changes in anger expression and attention focus: learning to wait.

Runze Li, Yiyun Zhang, S. Hall, 2011, Developmental psychology.

Statistical inference for linear mediation models with high-dimensional mediators and application to studying stock reaction to COVID-19 pandemic

Runze Li, Xu Guo, Jingyuan Liu, 2021, Journal of econometrics.

A FAST ALGORITHM FOR DETECTING GENE-GENE INTERACTIONS IN GENOME-WIDE ASSOCIATION STUDIES.

Runze Li, Jiahan Li, Wei Zhong, 2014, The annals of applied statistics.

A Distribution Free Conditional Independence Test with Applications to Causal Discovery

Runze Li, Zhanrui Cai, Yaowu Zhang, 2021, J. Mach. Learn. Res..

Subtypes of dual users of combustible and electronic cigarettes: longitudinal changes in product use and dependence symptomatology.

Runze Li, M. Piper, D. Jorenby, 2022, Nicotine & Tobacco Research.

Feature Selection for Varying Coefficient Models With Ultrahigh-Dimensional Covariates

Runze Li, Rongling Wu, Jingyuan Liu, 2014, Journal of the American Statistical Association.

Propensity Score Regression for Causal Inference With Treatment Heterogeneity

Runze Li, Xingwei Tong, Peng Wu, 2021, Statistica Sinica.

Varying Coefficient Mediation Model and Application to Analysis of Behavioral Economics Data

Runze Li, D. Coffman, Jingyuan Liu, 2021, Journal of business & economic statistics : a publication of the American Statistical Association.

A Local Linear Estimation Procedure for Functional Multilevel Modeling.

Runze Li, Saul Shiffman, Tammy L. Root, 2006 .

Model-Free Feature Screening for Ultrahigh

Hengjian Cui, Wei Zhong, Runze Li, 2014 .

Stable correlation and robust feature screening

Runze Li, Lixing Zhu, Xu Guo, 2021, Science China Mathematics.

Challenges and Opportunities in Collecting and Modeling Ambulatory Electrodermal Activity Data (Preprint)

Runze Li, N. Leonard, D. Coffman, 2019 .

Estimations and Tests for Generalized Mediation Models with High-Dimensional Potential Mediators

Runze Li, Jingyuan Liu, Xu Guo, 2023, Journal of Business & Economic Statistics.

Organize an invited talk session on Recent Advances on variable selection and regularization methods

Runze Li, Runze Li, 2012 .

Covariance Regularization and Graphical Models

Runze Li, Cun-Hui Zhang, Jianqing Fan, 2020 .

Efficient Statistical Inference Procedures for Partially Nonlinear Models and their Applications

Runze Li, Lei Nie, Runze Li, 2008, Biometrics.

A new estimation procedure for a partially nonlinear model via a mixed‐effects approach

Runze Li, L. Nie, 2007 .

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

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

Distributed Feature Screening via Componentwise Debiasing

Runze Li, Chen Xu, Zhiming Xia, 2019, J. Mach. Learn. Res..

Sample average approximation with sparsity-inducing penalty for high-dimensional stochastic programming

Xue Wang, Tao Yao, Runze Li, 2019, Math. Program..

Local composite quantile regression smoothing: an efficient and safe alternative to local polynomial regression

Runze Li, Hui Zou, H. Zou, 2010 .

MODEL SELECTION FOR ANALYSIS OF UNIFORM DESIGN AND COMPUTER EXPERIMENT

Runze Li, Runze Li, 2002 .

Feature Screening for Ultrahigh Dimensional Categorical Data With Applications

Runze Li, Danyang Huang, Hansheng Wang, 2013, Journal of business & economic statistics : a publication of the American Statistical Association.

Nonparametric Mixture of Regression Models

Runze Li, Mian Huang, Runze Li, 2013, Journal of the American Statistical Association.

Nonparametric Covariance Model

Hansheng Wang, Runze Li, Zhi Geng, 2008, Statistica Sinica.

Evaluation of Reproducibility for Paired Functional Data.

Runze Li, Mosuk Chow, Runze Li, 2005, Journal of multivariate analysis.

Causal Structural Learning on MPHIA Individual Dataset

Runze Li, L. Bao, Changcheng Li, 2022, Journal of the American Statistical Association.

Central limit theorem for linear spectral statistics of large dimensional Kendall’s rank correlation matrices and its applications

Runze Li, Zeng Li, Qinwen Wang, 2019, The Annals of Statistics.

Covariate Information Number for Feature Screening in Ultrahigh-Dimensional Supervised Problems

Runze Li, Francesca Chiaromonte, Debmalya Nandy, 2020, Journal of the American Statistical Association.

Variable Screening via Quantile Partial Correlation

Runze Li, Chih-Ling Tsai, Shujie Ma, 2017, Journal of the American Statistical Association.

Modeling Computer Experiments with Multiple Responses

Runze Li, Agus Sudjianto, Zhe Zhang, 2007 .

Portal Nodes Screening for Large Scale Social Networks.

Runze Li, Xiangyu Chang, Xuening Zhu, 2019, Journal of econometrics.

Statistical Challenges with High Dimensionality: Feature Selection in Knowledge Discovery

Jianqing Fan, Runze Li, 2006, math/0602133.

Submitted to the Annals of Statistics SUPPLEMENTAL MATERIAL FOR “ MULTIVARIATE VARYING COEFFICIENT MODEL FOR FUNCTIONAL RESPONSES

Runze Li, Hong-Tu Zhu, 2012 .

Semiparametric regression for measurement error model with heteroscedastic error

Runze Li, Yanyuan Ma, Mengyan Li, 2019, J. Multivar. Anal..

Model-Free Forward Screening Via Cumulative Divergence

Runze Li, Chen Xu, Liping Zhu, 2019, Journal of the American Statistical Association.

Feature Screening for Network Autoregression Model.

Runze Li, Xuening Zhu, Danyang Huang, 2021, Statistica Sinica.

On the Feasibility of Distributed Kernel Regression for Big Data

Xindong Wu, Runze Li, Chen Xu, 2015, IEEE Transactions on Knowledge and Data Engineering.

A Tuning-free Robust and Efficient Approach to High-dimensional Regression

Runze Li, Bo Peng, Yunan Wu, 2020, Journal of the American Statistical Association.

Homogeneity Structure Learning in Large-scale Panel Data with Heavy-tailed Errors

Runze Li, Yuan Ke, Xiao Di, 2021, J. Mach. Learn. Res..

Nicotine-dependence-varying effects of smoking events on momentary mood changes among adolescents.

Runze Li, D. Hedeker, R. Mermelstein, 2015, Addictive behaviors.

Variable Selection for Partially Linear Models With Measurement Errors

Runze Li, Hua Liang, 2009, Journal of the American Statistical Association.

Large-Scale Datastreams Surveillance via Pattern-Oriented-Sampling

Nan Chen, Runze Li, Haojie Ren, 2020, Journal of the American Statistical Association.

A Robust Consistent Information Criterion for Model Selection based on Empirical Likelihood

Rongling Wu, Ming Wang, Runze Li, 2020, 2006.13281.

Dynamic semiparametric Bayesian models for genetic mapping of complex trait with irregular longitudinal data

Guifang Fu, Runze Li, Rongling Wu, 2013, Statistics in medicine.

The Bayesian lasso for genome-wide association studies

Runze Li, Kiranmoy Das, R. Wu, 2011, Bioinform..

Iterative Conditional Maximization Algorithm for Nonconcave Penalized Likelihood

Runze Li, Yiyun Zhang, Runze Li, 2011 .

A block mixture model to map eQTLs for gene clustering and networking

Runze Li, Rongling Wu, Ningtao Wang, 2016, Scientific Reports.

Folded concave penalized learning of high-dimensional MRI data in Parkinson’s disease

Runze Li, Tao Yao, G. Du, 2021, Journal of Neuroscience Methods.

A mixed-type test for linearity in time series

Runze Li, H. An, Lixing Zhu, 2000 .

Variable selection for partially linear models via Bayesian subset modeling with diffusing prior

Runze Li, Xizhen Cai, Jia Wang, 2021, J. Multivar. Anal..

A STABILIZED UNIFORM Q-Q PLOT TO DETECT NON-MULTINORMALITY

Runze Li, F. J. Hickernell, K. Fang, 2006 .

Functional-Coefficient Quantile Regression for Panel Data with Latent Group Structure

Runze Li, Jia Chen, Degui Li, 2023, Journal of Business & Economic Statistics.

Inference on covariance-mean regression

Runze Li, Wei Lan, Tao Zou, 2021 .

Variable Selection via Partial Correlation.

Runze Li, Lejia Lou, Jingyuan Liu, 2017, Statistica Sinica.

Folded concave penalized sparse linear regression: sparsity, statistical performance, and algorithmic theory for local solutions

Y. Ye, Runze Li, Hongcheng Liu, 2017, Mathematical Programming.

Advancing the understanding of craving during smoking cessation attempts: a demonstration of the time-varying effect model.

Megan E. Piper, Stephanie T. Lanza, S. A. Vasilenko, 2013, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

Prediction‐Based Structured Variable Selection through the Receiver Operating Characteristic Curves

Runze Li, Yuanjia Wang, Naihua Duan, 2011, Biometrics.

Local Rank Inference for Varying Coefficient Models

Runze Li, Lan Wang, Runze Li, 2009, Journal of the American Statistical Association.

Threshold Selection in Feature Screening for Error Rate Control

Runze Li, Changliang Zou, Xu Guo, 2021, Journal of the American Statistical Association.

High Dimensional Inference

H. Zou, Cun-Hui Zhang, Jianqing Fan, 2020 .

Model-free forward regression via cumulative divergence

Runze Li, Liping Zhu, T. Zhou, 2019 .

AN OVERVIEW ON NONPARAMETRIC AND SEMIPARAMETRIC TECHNIQUES FOR LONGITUDINAL DATA

Jianqing Fan, Runze Li, 2006 .

Empirical Kriging models and their applications to QSAR

Runze Li, Yi-Zeng Liang, Hong Yin, 2007 .