Runze Li
Co-Director of the Center for Statistical Genetics; Eberly Family Chair and Associate Department Head in Statistics

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326 Thomas
University Park, PA 16802 - ril4@psu.edu
- 814-895-1555
Huck Affiliations
Publication Tags
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Screening Discriminant Analysis Estimator Performance Statistical Inference Model High Dimensional Predictors Regression Model Covariates Feature Selection Simulation Study Varying Coefficient Model Multivariate Tests Monte Carlo Simulation Methodology Empirical Analysis Class Independence Estimate Distribution Function Em Algorithm Health Sample Size Finite SampleMost Recent Publications
Projection test with sparse optimal direction for high-dimensional one-sample mean problem
Wanjun Liu, Runze Li, on p. 295-309
Dependence motives and use contexts that predicted smoking cessation and vaping cessation: A two-year longitudinal study with 13 waves
Joon Kyung Nam, Megan E. Piper, Zhaoxue Tong, Runze Li, James J. Yang, Douglas E. Jorenby, Anne Buu, 2023, Drug and Alcohol Dependence
Statistical inference for linear mediation models with high-dimensional mediators and application to studying stock reaction to COVID-19 pandemic
Xu Guo, Runze Li, Jingyuan Liu, Mudong Zeng, 2023, Journal of Econometrics on p. 166-179
PROBABILISTIC HIV RECENCY CLASSIFICATION—A LOGISTIC REGRESSION WITHOUT LABELED INDIVIDUAL LEVEL TRAINING DATA
Ben Sheng, Changcheng Li, Le Bao, Runze Li, 2023, Annals of Applied Statistics on p. 108-129
Subtypes of Dual Users of Combustible and Electronic Cigarettes: Longitudinal Changes in Product Use and Dependence Symptomatology
Anne Buu, Zhaoxue Tong, Zhanrui Cai, Runze Li, James J. Yang, Douglas E. Jorenby, Megan E. Piper, 2023, Nicotine and Tobacco Research on p. 438-443
Estimations and Tests for Generalized Mediation Models with High-Dimensional Potential Mediators
Xu Guo, Runze Li, Jingyuan Liu, Mudong Zeng, 2023, Journal of Business and Economic Statistics
Variable Selection for High-Dimensional Nodal Attributes in Social Networks with Degree Heterogeneity
Jia Wang, Xizhen Cai, Xiaoyue Niu, Runze Li, 2023, Journal of the American Statistical Association
Feature Screening for Interval-Valued Response with Application to Study Association between Posted Salary and Required Skills
Wei Zhong, Chen Qian, Wanjun Liu, Liping Zhu, Runze Li, 2023, Journal of the American Statistical Association on p. 805-817
Feature-splitting algorithms for ultrahigh dimensional quantile regression
Jiawei Wen, Songshan Yang, Christina Dan Wang, Yifan Jiang, Runze Li, 2023, Journal of Econometrics
Estimation and inference for the mediation effect in a time-varying mediation model
Xizhen Cai, Donna L. Coffman, Megan E. Piper, Runze Li, 2022, BMC Medical Research Methodology
Most-Cited Papers
Sensitivity and specificity of information criteria
John J. Dziak, Donna L. Coffman, Stephanie T. Lanza, Runze Li, Lars S. Jermiin, 2020, Briefings in Bioinformatics on p. 553-565
Feature selection for varying coefficient models with ultrahigh-dimensional covariates
Jingyuan Liu, Runze Li, Rongling Wu, 2014, Journal of the American Statistical Association on p. 266-274
Model-Free Feature Screening for Ultrahigh Dimensional Discriminant Analysis
Hengjian Cui, Runze Li, Wei Zhong, 2015, Journal of the American Statistical Association on p. 630-641
Calibrating nonconvex penalized regression in ultra-high dimension
Lan Wang, Yongdai Kim, Runze Li, 2013, Annals of Statistics on p. 2505-2536
A High-Dimensional Nonparametric Multivariate Test for Mean Vector
Lan Wang, Bo Peng, Runze Li, 2015, Journal of the American Statistical Association on p. 1658-1669
Advancing the understanding of craving during smoking cessation attempts: A demonstration of the time-varying effect model
Stephanie T. Lanza, Sara A. Vasilenko, Xiaoyu Liu, Runze Li, Megan E. Piper, 2014, Nicotine and Tobacco Research on p. S127-S134
Statistical inference in massive data sets
Runze Li, Dennis K.J. Lin, Bing Li, 2013, Applied Stochastic Models in Business and Industry on p. 399-409
A selective overview of feature screening for ultrahigh-dimensional data
Jing Yuan Liu, Wei Zhong, Run Ze Li, 2015, Science China Mathematics
Nonparametric mixture of regression models
Mian Huang, Runze Li, Shaoli Wang, 2013, Journal of the American Statistical Association on p. 929-941
Ultrahigh-Dimensional Multiclass Linear Discriminant Analysis by Pairwise Sure Independence Screening
Rui Pan, Hansheng Wang, Runze Li, 2016, Journal of the American Statistical Association on p. 169-179
News Articles Featuring Runze Li
Jul 18, 2023
Two honored with Eberly Distinguished Faculty Mentoring Award
Two members of the Eberly College of Science have been selected to receive the college's Distinguished Faculty Mentoring Award in 2023.
Full Article
Nov 20, 2019
Eleven Eberly faculty featured as highly cited researchers in 2019 by Clarivate
Eleven researchers from the Eberly College of Science have been recognized as "highly cited" by the Clarivate Analytics Web of Science Group. The 2019 Highly Cited Researchers list features researchers who have demonstrated considerable influence through publication of multiple works that have been cited by a significant number of their peers during the last decade.
Full Article