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
Most Recent Publications
Projection test with sparse optimal direction for high-dimensional one-sample mean problem
Wanjun Liu, Runze Li, on p. 295-309
A likelihood approach to incorporating self-report data in HIV recency classification
Wenlong Yang, Danping Liu, Le Bao, Runze Li, 2024, Biometrics
Clinical progression of Parkinson's disease in the early 21st century: Insights from the accelerating medicine partnership (AMP-PD) data
Mechelle M. Lewis, Richard B. Mailman, Xinyi Vivian Cheng, Guangwei Du, Lijun Zhang, Changcheng Li, Sol De Jesus, Samer D. Tabbal, Runze Li, Xuemei Huang, 2024, Parkinsonism and Related Disorders on p. 107186
Water limitation regulates positive feedback of increased ecosystem respiration
Qin Zhang, Chuixiang Yi, Georgia Destouni, Georg Wohlfahrt, Yakov Kuzyakov, Runze Li, Eric Kutter, Deliang Chen, Max Rietkerk, Stefano Manzoni, Zhenkun Tian, George Hendrey, Wei Fang, Nir Krakauer, Gustaf Hugelius, Jerker Jarsjo, Jianxu Han, Shiguo Xu, 2024, Nature Ecology and Evolution on p. 1870-1876
A NEW TEST FOR HIGH-DIMENSIONAL TWO-SAMPLE MEAN PROBLEMS WITH CONSIDERATION OF CORRELATION STRUCTURE
Songshan Yang, Shurong Zheng, Runze Li, 2024, Annals of Statistics on p. 2217-2240
TESTING HIGH-DIMENSIONAL REGRESSION COEFFICIENTS IN LINEAR MODELS
Alex Zhao, Changcheng Li, Runze Li, Zhe Zhang, 2024, Annals of Statistics on p. 2034-2058
PROPENSITY SCORE REGRESSION FOR CAUSAL INFERENCE WITH TREATMENT HETEROGENEITY
Peng Wu, Shasha Han, Xingwei Tong, Runze Li, 2024, Statistica Sinica on p. 747-769
Data science in economics and finance: Introduction
Matias D. Cattaneo, Yingying Fan, Runze Li, Rui Song, 2024, Journal of Econometrics
Reprint: 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, 2024, Journal of Econometrics
RANK-BASED INDICES FOR TESTING INDEPENDENCE BETWEEN TWO HIGH-DIMENSIONAL VECTORS
Yeqing Zhou, Kai Xu, Liping Zhu, Runze Li, 2024, Annals of Statistics on p. 184-206
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
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
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
Projection correlation between two random vectors
Liping Zhu, Kai Xu, Runze Li, Wei Zhong, 2017, Biometrika on p. 829-843
A selective overview of feature screening for ultrahigh-dimensional data
Jing Yuan Liu, Wei Zhong, Run Ze Li, 2015, Science China Mathematics
Variable Screening via Quantile Partial Correlation
Shujie Ma, Runze Li, Chih Ling Tsai, 2017, Journal of the American Statistical Association on p. 650-663
Variable selection for support vector machines in moderately high dimensions
Xiang Zhang, Yichao Wu, Lan Wang, Runze Li, 2016, Journal of the Royal Statistical Society. Series B: Statistical Methodology on p. 53-76
Bayesian group lasso for nonparametric varying-coefficient models with application to functional genome-wide association studies
Jiahan Li, Zhong Wang, Runze Li, Rongling Wu, 2015, Annals of Applied Statistics on p. 640-664
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
Depression and marijuana use disorder symptoms among current marijuana users
Lisa Dierker, Arielle Selya, Stephanie Lanza, Runze Li, Jennifer Rose, 2018, Addictive Behaviors on p. 161-168
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