Quefeng Li 李悫风

Department of Biostatistics
3105D McGavran-Greenberg Hall
Chapel Hill, NC, 27599
Phone: (919)962-6450
Email: quefeng AT email DOT unc DOT edu

It is not knowledge, but the act of learning, not possession but the act of getting there, which grants the greatest enjoyment. – Carl Friedrich Gauss

Professional Experience

  • Associate Professor, Department of Biostatistics, UNC-Chapel Hill, 2021-present.
  • Assistant Professor, Department of Biostatistics, UNC-Chapel Hill, 2015-2021.
  • Faculty Fellow, SAMSI, 2016-2017.
  • Postdoctoral Research Associate, ORFE, Princeton University, 2013-2015.

Education

Research Interest

  • High dimensional data analysis with applications in biomedical research
  • Data integration
  • Neuroimaging data analysis
  • Robust statistics

Publication

Manuscripts

  • Liu, T., Li, Q., and Zou, F. (2022+). Constrained Nonnegative Matrix Factorization Incorporating Knowledge of The Basis Matrix.
  • Yang, H., and Li, Q. (2022+). High Dimensional Semiparametric Latent Gaussian Copula Regression for Mixed Data.
  • Heiling, H., Rashid, N., Li, Q., and Ibrahim, J. (2022+). High Dimensional Penalized Generalized Linear Mixed Models: The glmmPen R Package.
  • Wang, H., Li, Q., and Liu, Y. (2022+). Multi-response Regression for Block-missing Multi-modal Data without Imputation.
  • Wang, P., Li, Q., Shen, D., and Liu, Y. (2022+). Joint and Individual Component Regression.
  • Jiang, H., Li, Q., Lin, J., and Lin, F. (2022+). Classification of Disease Recurring using Transition Likelihoods with EM Algorithm.

Statistical Theory & Methodology

  • Chen, J., Li, Q., and Chen, H.Y. (2022+). Testing Generalized Linear Models with High-dimensional Null Hypothesis. Biometrika, in press. [pdf] [supp]
  • Liu, Y., Darville, T., Zheng, X., and Li, Q. (2022+). Decomposition of Variation of Mixed Variables by a Latent Mixed Gaussian Copula Model. Biometrics, in press. [pdf] [supp]
  • Yang, H., Lin, D.Y., and Li, Q. (2022+). An Efficient Greedy Search Algorithm for High-dimensional Linear Discriminant Analysis. Statistica Sinica, in press. [pdf] [supp]
  • Wang, P., Li, Q., Shen, D., and Liu, Y. (2022+). High-Dimensional Factor Regression for Heterogeneous Subpopulations. Statistica Sinica, in press. [pdf] [supp]
  • Li, Q. and Li, L. (2022+). Integrative Factor Regression and Its Inference for Multimodal Data Analysis. Journal of the American Statistical Association, in press. [pdf] [supp]
  • Liu, Y., Lin, J., Lin, F., and Li, Q. (2022). Classification of Unknown Cause of Failure in Competing Risks: an Application to Recurrence of P. vivax Malaria Infection. Journal of Data Science, 20:51-78. [pdf] [supp]
  • Lin, F., Li, Q., and Lin, J. (2020). Relapse or Reinfection: Classification of Malaria Infection Using Transition Likelihoods. Biometrics, 76:1351-1363. [pdf] [supp]
  • Rashid, N., Li, Q., Yeh, J., and Ibrahim, J. (2020). Modeling Between-Study Heterogeneity for Reproducible Gene Signature Selection and Clinical Prediction. Journal of the American Statistical Association, 115:1125–1138. [pdf] [supp]
  • Yu, G., Li, Q., Shen, D., and Liu, Y. (2020). Optimal Sparse Linear Prediction for Block-missing Multi-modality Data without Imputation. Journal of the American Statistical Association, 115:1406–1419. [pdf] [supp]
  • Li, X., Li, Q., Zeng, D., Marder, K., Paulsen, J., and Wang, Y. (2020). Time-varying Hazards Model Incorporating Irregularly Measured High-dimensional Biomarkers. Statistica Sinica, 30:1605–1632. [pdf] [supp]
  • Ta, T., Shao, J., Li, Q., and Wang, L. (2020). Generalized Regression Estimators with High-Dimensional Covariates. Statistica Sinica, 30:1135–1154. [pdf] [supp]
  • Li, Q. and Li, L. (2018). Integrative Linear Discriminant Analysis with Guaranteed Error Rate Improvement. Biometrika, 105:917-930. [pdf] [supp]
  • Avella-Medina, M., Battey, H., Fan, J., and Li, Q. (2018). Robust Estimation of High Dimensional Covariance and Precision Matrices. Biometrika, 105:271-284. [pdf] [supp]
  • Li, Q., Cheng, G., Fan, J., and Wang, Y. (2018). Embracing the Blessing of Dimensionality in Factor Models. Journal of the American Statistical Association, 113:380-389. [pdf] [supp]
  • Li, Q., Yu, M., and Wang, S. (2017). A Statistical Framework for Pathway and Gene Identification from Integrative Analysis. Journal of Multivariate Analysis, 156:1-17. [pdf]
  • Fan, J., Li, Q., and Wang, Y. (2017). Estimation of High-Dimensional Mean Regression in Absence of Symmetry and Light-tail Assumptions. Journal of the Royal Statistical Society: Series B, 1:247-265. [pdf] [supp]
  • Li, Q. and Shao, J. (2015). Regularizing LASSO: A Consistent Variable Selection Method. Statistica Sinica, 25:975-992. [pdf] [supp]
  • Li, Q. and Shao, J. (2015). Sparse Quadratic Discriminant Analysis for High Dimensional Data. Statistica Sinica, 25:457-473. [pdf] [supp]
  • Xu, Y., Yu, M., Zhao, Y. Q., Li, Q., Wang, S., and Shao, J. (2015). Regularized Outcome Weighted Subgroup Identification for Differential Treatment Effects. Biometrics, 71:645-653. [pdf] [supp] [R code] {An earlier version received 2014 John Van Ryzin Award.}
  • Li, Q., Wang, S., Huang, C., Yu, M., and Shao, J. (2014). Meta-Analysis Based Variable Selection for Gene Expression Data. Biometrics, 70:872-880. [pdf] [supp]
  • Yu, M. and Li, Q. (2014). Discussion of "Combining Biomarkers to Optimize Patient Treatment Recommendations". Biometrics, 70:716-719. [pdf]

Collaborative Work

  • Li, W., Yang, D., Yan, C., Chen, M., Li, Q., Zhu, W., Wu, G., and ADNI. (2022+). Characterizing Network Selectiveness to the Dynamic Spreading of Neuropathological Events in Alzheimer's Disease. Journal of Alzheimer's Disease, in press.
  • Hill, J., Seguin, R., Manda, A., Chikasema, M., Vaz, O., Li, Q., Yang, H., Gopal, S., Smith, J. (2022+). Prevalence of Traditional, Complementary, and Alternative Medicine (TCAM) Among Adult Cancer Patients in Malawi. Cancer Causes & Control, in press.
  • Lindsey, R., Mazzella, A., Gehi, A., Liu, Y., Li, Q., Salmoirago-Blotcher, E., Lampert, R., Burg, M. (2022). Immediate and Long-term Effects of the COVID-19 Pandemic and Lockdown on Objectively-Measured Physical Activity in Patients with Implanted Cardiac Devices. Pacing and Clinical Electrophysiology, 45:111-123. [Link]
  • Davis, E., Coakley, R., Labamba, B., Rowell, T., Dang, H., Pawlak, Li, Q., Alexis, N., Ribeiro, C., Tarran, R. (2022). Chronic E-Cigarette Exposure Alters Human Alveolar Macrophage Morphology and Gene Expression. Nicotine & Tobacco Research, 24:395-399. [Link]
  • Specht, B., Buse, C., Phelps, J., Chiavacci, S., Harrell, L. Nelson, J., Poulos, K., Li, Q., Liu, Y., Lupa, C. (2022+). Virtual Reality After Surgery (VRAS) – A Method to Decrease Pain After Surgery in Pediatric Patients. The American Surgeon, Jul 17:31348211032204. [Link]
  • Rosman, L., Salmoirago-Blotcher, E., Mahmood, R., Yang, H, Li, Q., Mazzella, A., Klein, J., Hanks, J., Bumgarner, J., Gehi, A. (2021). Arrhythmia Risk During the 2016 United States Presidential Election: The Cost of Stressful Politics. Journal of the American Heart Association, 10:e020559. [Link]
  • Zhou, J., Li, Q., Cao, Y. (2021). Spatiotemporal Heterogeneity across Metastases and Organ-Specific Response Informs Drug Efficacy and Patient Survival in Colorectal Cancer. Cancer Research, 81:2522-2533. [Link]
  • Hallman, M., Dorinsky, N., Wang, Y, Li, Q., Isaak, R., Kolarczyk, L., Kim, H., Lobonc, A. (2021). Objective Pain Assessment using Incentive Spirometry Values. Pain Management, 11:315-324. [Link]
  • Mazzela, A., Hendrickson, M., Aurora, S., Sanders, M., Li, Q., Vavalle, J., Gehi, A. (2021). Shifting Trends in Timing of Pacemaker Implantation After Transcatheter Aortic Valve Replacement. JACC: Cardiovascular Interventions, 14:232-234. [Link]
  • Flythe, J., Tugman, M., Narendra, J., Assimon, M., Li, Q., Wang, Y., Brunelli, S., Hinderliter, A. (2021). Effect of ultrafiltration profiling on outcomes among maintenance hemodialysis patients: a randomized crossover trial. Journal of Nephrology, 34:113-123. [Link]
  • Straube, L., Fardelmann, K., Penwarden, A., Harker, E., Redmon, B., Li, Q., Strauss, R., Smith, K. (2020). Nitrous Oxide Analgesia for External Cephalic Version: A Randomized Control Trial. Journal of Clinical Anesthesia, 68:110073. [Link]
  • Mazzella, A., Sanders, M., Yang, H., Li, Q., Vavalle, J., Gehi, A. (2020). Predicting Need for Pacemaker Implantation Early and Late After Transcatheter Aortic Valve Implantation. Catheterization and Cardiovascular Interventions, 2020:1-9. [Link]
  • Beckman J., Li, Q., Smith, T., Hester, S., Leitner, O., Karen, S., Kasthuri, R. (2020). Integration of Clinical Parameters, Genotype and Epistaxis Severity Score to Guide Treatment for Hereditary Hemorrhagic Telangiectasia Associated Bleeding. Orphanet Journal of Rare Diseases, 15:185. [Link]
  • Rohner, E., McGuire F. H., Liu, Y. Li, Q., Miele, K., Desai, S. A., Schmitt, J., Knittel, A., Nelson, J., Edelman, C., Sivaraman, V., Baker, A., Romocki, L., Rahangdale, L., Smith, J. (2020). Racial and Ethnic Differences in Acceptability of Urine and Cervico-Vaginal Sample Self-Collection for HPV-Based Cervical Cancer Screening. Journal of Women's Health, 29:7. [Link]
  • Wang, Y, Yang, D., Li, Q., Kaufer, D., Styner, M., Wu, G. (2020). Characterize the Propagation Pattern of Neurodegeneartion in Alzheimer's Disease by Longitudinal Network Analysis. Proceedings of the 20th IEEE International Symposium on Biomedical Imaging (ISBI), 292-295. [Link]
  • Zhong, W., Dong, L., Poston, T., Darville, T., Li, Q., Zheng, X. (2020). Inferring Regulatory Network from Mixed Observational Data Using the Directed Acyclic Graph. Frontiers in Genetics, 11:8. [Link]
  • Zhou, J., Liu, Y., Zhang, Y., Li, Q., Cao, Y. (2019). Modeling Tumor Evolutionary Dynamics to Predict Clinical Outcomes for Patients with Metastatic Colorectal Cancer: A Retrospective Analysis. Cancer Research, 80:591-601. [link]
  • Kim, E., Yang, L., Ye, P., Guo, R., Li, Q., Kulis, M., Burks, W. (2019). Long-term Sublingual Immunotherapy for Peanut Allergy in Children: Clinical and Immunologic Evidence of Desensitization. Journal of Allergy and Clinical Immunology, 144:1320-1326. [Link]
  • Tugman, M., Narenda J., Li, Q., Wang, Y., Hinderliter, A., Brunelli, S., Flythe, J. (2019). Ultrafiltration Profiled Hemodialysis to Reduce Dialysis-related Cardiovascular Stress: Study Protocol for a Randomized Controlled Trial. Contemporary Clinical Trials Communications, 15:100415. [Link]
  • Dineen, H., Eskildsen, S., Gan, Z., Li, Q., Patterson, B., Patterson, J., Draeger, R. (2019). Gender Preferences of Patients when Selecting Orthopaedic Providers. Iowa Orthopaedic Journal, 39:203-210. [Link]
  • Hill, J., Mills, C., Li, Q., Smith, J. (2019). The Prevalence of Traditional, Complementary, and Alternative Medicine Use by Cancer Patients in Low Income and Lower-Middle Income Countries; a Systematic Review. Global Public Health, 14:418-430. [Link]
  • Cummings, D., Adams, A., Halladay, J., Hinderliter, A., Donahue, K., Cene, C., Li, Q., Miller, C., Garcia, B., Tillman, J., Little, E., DeWalt, D. (2019). Race-Specific Patterns of Treatment Intensification among Hypertensive Patients using Home Blood Pressure Monitoring: Analysis Using Defined Daily Doses in the Heart Healthy Lenoir Study. The Annals of Pharmacotheraphy, 53:333-340. [Link]
  • Kulis, M., Yue, X., Guo, R., Zhang, H., Orgel, K., Ye, P., Li, Q., Liu, Y, Kim, E., Burks, A., Vickery, B. (2019). High and Low Dose Oral Immunotherapy Similarly Suppress Pro-Allergic Cytokines and Basophil Activation in Young Children. Clinical and Experimental Allergy, 49:180-189. [Link]
  • Jones, S., Li, Q., Aiello, A., O'Rand, A., Roux, A., and Evenson, K. (2018). Correlates of Changes in Walking During the Retirement Transition: The Multi-Ethnic Study of Atherosclerosis. Preventive Medicine Reports 11:221-230. [Link]
  • Sun, X., Shan, Y., Li, Q., Chollet-Hinton, L., Kirk, E., Gierach, G., Troester, M. (2018). Intra-individual Gene Expression Variability of Normal Breast Tissue. Scientific Reports, 8:9137. [Link]
  • Wu, J., Cummings, D., Li, Q., Halladay, J., Donahue, K., Cene, C., M.D., Hinderliter, A., Bosworth, H., Miller, C., Garcia, B., Tillman, J., DeWalt, D. (2018). The Effect of a Practice-based Multi-component Intervention that Includes Health Coaching on Medication Adherence and Blood Pressure Control in Rural Primary Care. Journal of Clinical Hypertension, 20:757-764. [Link]
  • Jones, S., Li, Q., Aiello, A., O'Rand, A., Turkbey E., Roux, A., and Evenson, K. (2018). Physical Activity, Sedentary Behavior, and Retirement: the Multi-Ethnic Study of Atherosclerosis (MESA). American Journal of Preventive Medicine, 54:786-794. [Link]
  • Halladay, J., Donahue K., Cene C.W., Li, Q., Cummings, D., Hinderliter, A., Miller, C., Garcia B., Little, E. Tillman, J., Ammerman, A., DeWalt, D. (2017). The Association of Health Literacy and Blood Pressure Reduction in a Cohort of Patients with Hypertension: The Heart Healthy Lenoir Trial. Patient Education and Counseling, 100:542-549. [Link]
  • Scerpella, T.A., Bernardoni, B., Wang, S., Rathouz P.J., Li, Q., and Dowthwaite, J.N. (2016). Site-Specific, Adult Bone Benefits Attributed to Loading During Youth: A Preliminary Longitudinal Analysis. Bone, 85:148-159. [Link]
  • Bernardoni, B., Scerpella, T.A., Rosenbaum, P.F., Kanaley, J.A., Li, Q., Wang, S. and Dowthwaite, J.N. (2015). The Influence of Organized Physical Activity (Including Gymnastics) on Young Adult Skeletal Traits: Is Maturity Phase Important? Pediatric Exercise Science, 27:285-296. [Link]
  • Bernardoni, B., Thein-Nissenbaum, J., Fast, J., Day, M., Wang, S., Li, Q., and Scerpella, T.A. (2014). A School-Based Resistance Intervention Improves Skeletal Growth in Adolescent Females. Osteoporosis International, 25:1025-1032. [Link]
  • Coursin, D., Head, D., Chen, G., Li, Q., Wang, S. and Hogan, K. (2014). Vitamin D Deficiency in Anesthesia Caregivers at the End of Winter. Acta Anaesthesiologica Scandinavica, 58:802-806. [Link]

Software

  • MetaLasso: A variable/group selection method for horizontal integration of generalized linear models. [manual] [reference]
  • iLDA: An integrative linear discriminant analysis classifier using multimodal data for binary classification, which allows multimodal data to have blocks of missing values. [manual] [reference]

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