Publications

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Web Article
Chen, G, Michael R. Kosorok, and X Zhou. Nonconvex Optimization. In Wiley StatsRef: Statistics Reference Online., 2018.
Software
Cao, Hongyuan, Mathew M. Churpek, Donglin Zeng, Jason P. Fine, and Shannon T. Holloway. SurvLong: Analysis of proportional hazards model with sparse longitudinal covariates (R).. 1.0 ed., 2015.
Lin, Dan-Yu, R Tao, W Kalsbeek, Donglin Zeng, Franklyn Gonzalez, Lindsay Fernández-Rhodes, Mariaelisa Graff, Gary G. Koch, Kari E. North, and Gerardo Heiss. SUGEN: Genetic Association Analysis Under Complex Survey Sampling (C++)., 2014.
Hu, Yi-Juan, Dan-Yu Lin, and Donglin Zeng. SNPMStat v4.0 : Statistical analysis of SNP-disease association with missing genotype data.., 2011.
Lin, Dan-Yu, Donglin Zeng, and Zheng-Zheng Tang. SCORE-SeqTDS: Score tests for sequencing studies with trait-dependent sampling (C).. 3.0 ed., 2013.
Zhu, Ruoqing, and Michael R. Kosorok. RLT: Reinforcement learning trees (R).. 2.0 ed., 2015.
Zhang, Chong, Yufeng Liu, and Shannon T. Holloway. RAMSVM: Reinforced angle-based multicategory support vector machines (R).. 2.0 ed., 2016.
Gao, Fei, Donglin Zeng, and Joseph G. Ibrahim. Power calculations and confidence intervals in phase II design with over enrollment (SAS/R).., 2014.
Gao, Fei, Donglin Zeng, and Dan-Yu Lin. PICAFT: Semiparametric Estimation of the Accelerated Failure Time Model With Partly Interval-Censored Data (R)., 2017.
Zhu, Hongtu, Joseph G. Ibrahim, and Hyunsoon Cho. Perturbation and scaled Cook's distance (C++/Matlab).., 2012.
Lin, Lifeng, Jing Zhang, and Haitao Chu. pcnetmeta: Methods for patient-centered network meta-analysis (R).. 1.2 ed., 2014.
Lu, Wenbin, Hao Helen Zhang, Donglin Zeng, Yuan Geng, and Shannon T. Holloway. OTRselect: Variable selection for optimal treatment decision (R).. 1.0 ed. CRAN Repository, 2016.
Lu, Wenbin, Hao Helen Zhang, Donglin Zeng, Yuan Geng, and Shannon T. Holloway. OTRselect: Variable selection for optimal treatment decision (R).. 1.0 ed. CRAN Repository, 2016.
Wang, Xiaofei, Junling Ma, Stephen L. George, and Haibo Zhou. odsroc: Nonparametric estimation of AUC and partial AUC under test-result-dependent sampling (R).., 2012.
Tao, Ran, Donglin Zeng, Nora Franceschini, Kari E. North, Eric Boerwinkle, and Dan-Yu Lin. MultiTDS: Analysis of Sequence Data Under Multivariate Trait-Dependent Sampling (C++)., 2015.
Zhou, Yi-Hui. mcc: Moment corrected correlation an approximation to exact association testing of two vectors (R).. 1.0 ed., 2014.
Urrutia, Eugene, Hao Chen, Zilu Zhou, Nancy R. Zhang, and Yuchao Jiang. MARATHON: Integrates Multiple Related Statistical Software for Copy Number Profiling and Downstream Analyses (R)., 2018.
Urrutia, Eugene, Hao Chen, Zilu Zhou, Nancy R. Zhang, and Yuchao Jiang. MARATHON: Integrates Multiple Related Statistical Software for Copy Number Profiling and Downstream Analyses (R)., 2018.
Zhang, Danjie, Ming-Hui Chen, and Joseph G. Ibrahim. JMfit - For fitting joint models for longitudinal and survival data (SAS)., 2014.
Bunn, Paul, Donglin Zeng, and Dan-Yu Lin. IntCens: Nonparametric maximum likelihood estimation for a broad class of semiparametric regression models with general interval-censored data (R).., 2016.
Holloway, Shannon T., Qingning Zhou, Jianwen Cai, and Haibo Zhou. ICODS: Data Analysis for ODS and Case-Cohort Designs with Interval-Censoring (R). 1.0 ed., 2019.
Holloway, Shannon T., Qingning Zhou, Jianwen Cai, and Haibo Zhou. ICODS: Data Analysis for ODS and Case-Cohort Designs with Interval-Censoring (R). 1.0 ed., 2019.
Zhou, Jie, Jiajia Zhang, and Wenbin Lu. ICGOR: Fit Generalized Odds Rate Hazards Model with Interval Censored Data (R). 2.0 ed., 2017.
Zhou, Jie, Jiajia Zhang, and Wenbin Lu. ICGOR: Fit Generalized Odds Rate Hazards Model with Interval Censored Data (R). 2.0 ed., 2017.
Zhou, Jie, Jiajia Zhang, and Wenbin Lu. GORCure: Fit Generalized Odds Rate Mixture Cure Model with Interval Censored Data (R)., 2017.
Zhou, Jie, Jiajia Zhang, and Wenbin Lu. GORCure: Fit Generalized Odds Rate Mixture Cure Model with Interval Censored Data (R)., 2017.
Ibrahim, Joseph G., Hongtu Zhu, Ramon I. Garcia, and Ruixin Guo. Fixed and random effects selection in mixed effects toolkit (R).., 2011.
Holloway, Shannon T., Eric B. Laber, Kristin A. Linn, Baqun Zhang, Marie Davidian, and Anastasios A. Tsiatis. DynTxRegime: A comprehensive package for analysis of dynamic treatment regimes (R).. v3.1 ed., 2017.
Liu, Ying, Yuanjia Wang, and Donglin Zeng. DTRlearn: Learning Algorithms for Dynamic Treatment Regimes (R). 1.3 ed., 2018.
Line, Danyu, Donglin Zeng, and Shannon T. Holloway. DOVE: Durability of Vaccine Efficacy. v1.2 ed., 2021.
Jiang, Yuchao, and Nancy R. Zhang. CODEX2: Full-spectrum copy number variation detection by high-throughput DNA sequencing. (R)., 2018.
Hu, Yi-Juan, Dan-Yu Lin, Wei Sun, and Donglin Zeng. CNVstat: Statistical association analysis of copy number variants (C).. 1.0 ed., 2012.
Wang, Xuefeng, Mengjie Chen, Xiaoqing Yu, Natapol Pornputtapong, Hao Chen, Nancy R. Zhang, Scott R Powers, and Michael Krauthammer. CLOSE: A toolkit for CNA/LOH analysis with Sequencing data., 2016.
Diao, Guoqing, Jun Dong, Donglin Zeng, and Joseph G. Ibrahim. BTAD : Biomarker Threshold Adaptive Designs for Survival Endpoints (C++)., 2018.
Guo, Ruixin, Hongtu Zhu, Sy-Miin Chow, and Joseph G. Ibrahim. Bayesian Lasso for semiparametric structural equation models toolkit (C++).., 2011.
Cao, Hongyuan, Donglin Zeng, Jason P. Fine, and Shannon T. Holloway. AsynchLong: Regression analysis of sparse asynchronous longitudinal data (R).. 2.0 ed., 2016.
Zhu, Anqi, Joseph G. Ibrahim, and Michael I. Love. apeglm: Approximate posterior estimation for GLM coefficients (R)., 2018.
Cornea, Emil, Hongtu Zhu, Peter Kim, and Joseph G. Ibrahim. ADNI_RMRSS: Regression Models on Riemannian Symmetric Spaces (MATLAB)., 2016.
Report
Zhu, Ruoqing, Donglin Zeng, and Michael R. Kosorok. Reinforcement learning trees In The University of North Carolina at Chapel Hill Department of Biostatistics Technical Report Series. UNC at Chapel Hill. Chapel Hill: The University of North Carolina, 2012.
Zhu, Ruoqing, Donglin Zeng, and Michael R. Kosorok. Reinforcement learning trees In The University of North Carolina at Chapel Hill Department of Biostatistics Technical Report Series. UNC at Chapel Hill. Chapel Hill: The University of North Carolina, 2012.
Presentation
Zhao, Luping. Measures of Clinical Benefit in Immuno-Oncology Studies., 2016.
Zhang, Yichi. Interpretable treatment regimes., 2014.
Zhao, Yingqi. Estimation of Optimal Dynamic Treatment Regimes., 2014.
Zeng, Donglin. Estimating treatment effects with treatment switching via semi-competing risks models: An application to a colorectal cancer study., 2011.
Zhao, Yingqi. Estimating Individualized Treatment Rules Using Outcome Weighted Learning., 2011.
Journal Article
Song, Rui, Feng Yi, and Hui Zou. "On Varying-coefficient Independence Screening for High-dimensional Varying-coefficient Models." Stat Sin 24, no. 4 (2014): 1735-1752.
Zhou, Jie, Jiajia Zhang, Alexander C. Mclain, Wenbin Lu, Xuemei Sui, and James W. Hardin. "A varying-coefficient generalized odds rate model with time-varying exposure: An application to fitness and cardiovascular disease mortality." Biometrics 75, no. 3 (2019): 853-863.
Zhou, Jie, Jiajia Zhang, Alexander C. Mclain, Wenbin Lu, Xuemei Sui, and James W. Hardin. "A varying-coefficient generalized odds rate model with time-varying exposure: An application to fitness and cardiovascular disease mortality." Biometrics 75, no. 3 (2019): 853-863.
Yuan, Ying, Hongtu Zhu, Martin Styner, John H. Gilmore, and J S. Marron. "VARYING COEFFICIENT MODEL FOR MODELING DIFFUSION TENSORS ALONG WHITE MATTER TRACTS." Ann Appl Stat 7, no. 1 (2013): 102-125.
Zou, Baiming, Fei Zou, Jonathan J. Shuster, Patrick J. Tighe, Gary G. Koch, and Haibo Zhou. "On variance estimate for covariate adjustment by propensity score analysis." Stat Med 35, no. 20 (2016): 3537-48.
Zou, Baiming, Fei Zou, Jonathan J. Shuster, Patrick J. Tighe, Gary G. Koch, and Haibo Zhou. "On variance estimate for covariate adjustment by propensity score analysis." Stat Med 35, no. 20 (2016): 3537-48.
Zou, Baiming, Fei Zou, Jonathan J. Shuster, Patrick J. Tighe, Gary G. Koch, and Haibo Zhou. "On variance estimate for covariate adjustment by propensity score analysis." Stat Med 35, no. 20 (2016): 3537-48.
Zhang, Xiang, Yichao Wu, Lan Wang, and Runze Li. "Variable Selection for Support Vector Machines in Moderately High Dimensions." J R Stat Soc Series B Stat Methodol 78, no. 1 (2016): 53-76.
Lu, Wenbin, Hao Helen Zhang, and Donglin Zeng. "Variable selection for optimal treatment decision." Stat Methods Med Res 22, no. 5 (2013): 493-504.
Lu, Wenbin, Hao Helen Zhang, and Donglin Zeng. "Variable selection for optimal treatment decision." Stat Methods Med Res 22, no. 5 (2013): 493-504.
Lin, Chen-Yen, Howard Bondell, Hao Helen Zhang, and Hui Zou. "Variable Selection for Nonparametric Quantile Regression via Smoothing Spline AN OVA." Stat 2, no. 1 (2013): 255-268.
Lin, Chen-Yen, Howard Bondell, Hao Helen Zhang, and Hui Zou. "Variable Selection for Nonparametric Quantile Regression via Smoothing Spline AN OVA." Stat 2, no. 1 (2013): 255-268.
Yuan, Shuai, Hao Helen Zhang, and Marie Davidian. "Variable selection for covariate-adjusted semiparametric inference in randomized clinical trials." Stat Med 31, no. 29 (2012): 3789-804.
Wang, Xiaofei, Lin Gu, Ying Zhang, Daniel J. Sargent, William Richards, Apar Kishor Ganti, Jeffery Crawford, Harvey Jay Cohen, Thomas Stinchcombe, Everett Vokes et al. "Validation of survival prognostic models for non-small-cell lung cancer in stage- and age-specific groups." Lung Cancer 90, no. 2 (2015): 281-7.
Shook-Sa, Bonnie E., Ding-Geng Chen, and Haibo Zhou. "Using Structural Equation Modeling to Assess the Links between Tobacco Smoke Exposure, Volatile Organic Compounds, and Respiratory Function for Adolescents Aged 6 to 18 in the United States." Int J Environ Res Public Health 14, no. 10 (2017).
Laber, Eric B., Ying-Qi Zhao, Todd Regh, Marie Davidian, Anastasios Tsiatis, Joseph B. Stanford, Donglin Zeng, Rui Song, and Michael R. Kosorok. "Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy." Stat Med 35, no. 8 (2016): 1245-56.
Laber, Eric B., Ying-Qi Zhao, Todd Regh, Marie Davidian, Anastasios Tsiatis, Joseph B. Stanford, Donglin Zeng, Rui Song, and Michael R. Kosorok. "Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy." Stat Med 35, no. 8 (2016): 1245-56.
Zhang, Yichi, Eric B. Laber, Anastasios Tsiatis, and Marie Davidian. "Using decision lists to construct interpretable and parsimonious treatment regimes." Biometrics 71, no. 4 (2015): 895-904.
Ghosh, Arpita, Fred A. Wright, and Fei Zou. "Unified Analysis of Secondary Traits in Case-Control Association Studies." J Am Stat Assoc 108, no. 502 (2013).
Verde, Audrey R., Francois Budin, Jean-Baptiste Berger, Aditya Gupta, Mahshid Farzinfar, Adrien Kaiser, Mihye Ahn, Hans Johnson, Joy Matsui, Heather C. Hazlett et al. "UNC-Utah NA-MIC framework for DTI fiber tract analysis." Front Neuroinform 7 (2014): 51.
Shin, Seung Jun, Yichao Wu, and Hao Helen Zhang. "Two-Dimensional Solution Surface for Weighted Support Vector Machines." J Comput Graph Stat 23, no. 2 (2014): 383-402.
Li, Yimei, John H. Gilmore, Jiaping Wang, Martin Styner, Weili Lin, and Hongtu Zhu. "TwinMARM: two-stage multiscale adaptive regression methods for twin neuroimaging data." IEEE Trans Med Imaging 31, no. 5 (2012): 1100-12.
Laber, E B., and Y Q. Zhao. "Tree-based methods for individualized treatment regimes." Biometrika 102, no. 3 (2015): 501-514.
Cui, Yifan, Ruoqing Zhu, and Michael Kosorok. "Tree based weighted learning for estimating individualized treatment rules with censored data." Electron J Stat 11, no. 2 (2017): 3927-3953.
Caron, Whitney P., John C. Lay, Alan M. Fong, Ninh M. La-Beck, Parag Kumar, Suzanne E. Newman, Haibo Zhou, Jane H. Monaco, Daniel L. Clarke-Pearson, Wendy R. Brewster et al. "Translational studies of phenotypic probes for the mononuclear phagocyte system and liposomal pharmacology." J Pharmacol Exp Ther 347, no. 3 (2013): 599-606.
Caron, Whitney P., John C. Lay, Alan M. Fong, Ninh M. La-Beck, Parag Kumar, Suzanne E. Newman, Haibo Zhou, Jane H. Monaco, Daniel L. Clarke-Pearson, Wendy R. Brewster et al. "Translational studies of phenotypic probes for the mononuclear phagocyte system and liposomal pharmacology." J Pharmacol Exp Ther 347, no. 3 (2013): 599-606.
Cai, Na, Wenbin Lu, and Hao Helen Zhang. "Time-varying latent effect model for longitudinal data with informative observation times." Biometrics 68, no. 4 (2012): 1093-102.
Zhu, Zhaoyin, Xiaofei Wang, Paramita Saha-Chaudhuri, Andrzej S. Kosinski, and Stephen L. George. "Time-dependent classification accuracy curve under marker-dependent sampling." Biom J 58, no. 4 (2016): 974-92.
Olby, Natasha J., Ji-Hey Lim, Nikki Wagner, Natalia Zidan, Peter J. Early, Christopher L. Mariani, Karen R. Muñana, and Eric Laber. "Time course and prognostic value of serum GFAP, pNFH, and S100β concentrations in dogs with complete spinal cord injury because of intervertebral disc extrusion." J Vet Intern Med 33, no. 2 (2019): 726-734.
Zhou, Hua, Lexin Li, and Hongtu Zhu. "Tensor Regression with Applications in Neuroimaging Data Analysis." J Am Stat Assoc 108, no. 502 (2013): 540-552.
Zhou, Hua, Lexin Li, and Hongtu Zhu. "Tensor Regression with Applications in Neuroimaging Data Analysis." J Am Stat Assoc 108, no. 502 (2013): 540-552.
Zhang, Xiang, Shunping Huang, Fei Zou, and Wei Wang. "TEAM: efficient two-locus epistasis tests in human genome-wide association study." Bioinformatics 26, no. 12 (2010): i217-27.
Zhang, Xiang, Shunping Huang, Fei Zou, and Wei Wang. "TEAM: efficient two-locus epistasis tests in human genome-wide association study." Bioinformatics 26, no. 12 (2010): i217-27.
Chen, Tianle, Yuanjia Wang, Huaihou Chen, Karen Marder, and Donglin Zeng. "Targeted Local Support Vector Machine for Age-Dependent Classification." J Am Stat Assoc 109, no. 507 (2014): 1174-1187.
Storlie, Curtis B., Howard D. Bondell, Brian J. Reich, and Hao Helen Zhang. "Surface Estimation, Variable Selection, and the Nonparametric Oracle Property." Stat Sin 21, no. 2 (2011): 679-705.
Wang, Yuanjia, Tianle Chen, and Donglin Zeng. "Support Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes." J Mach Learn Res 17 (2016).
Deng, Qiqi, Ying-Ying Zhang, Dooti Roy, and Ming-Hui Chen. "Superiority of combining two independent trials in interim futility analysis." Stat Methods Med Res 29, no. 2 (2020): 522-540.
Tzeng, Jung-Ying, Daowen Zhang, Monnat Pongpanich, Chris Smith, Mark I. McCarthy, Michèle M. Sale, Bradford B. Worrall, Fang-Chi Hsu, Duncan C. Thomas, and Patrick F. Sullivan. "Studying gene and gene-environment effects of uncommon and common variants on continuous traits: a marker-set approach using gene-trait similarity regression." Am J Hum Genet 89, no. 2 (2011): 277-88.
Lu, Tsui-Shan, Matthew P. Longnecker, and Haibo Zhou. "Statistical inferences for data from studies conducted with an aggregated multivariate outcome-dependent sample design." Stat Med 36, no. 6 (2017): 985-997.
Yu, Jichang, Yanyan Liu, Dale P. Sandler, and Haibo Zhou. "Statistical inference for the additive hazards model under outcome-dependent sampling." Can J Stat 43, no. 3 (2015): 436-453.
Diao, Guoqing, Donglin Zeng, Joseph G. Ibrahim, Alan Rong, Oliver Lee, Kathy Zhang, and Qingxia Chen. "Statistical design of noninferiority multiple region clinical trials to assess global and consistent treatment effects." J Biopharm Stat 27, no. 6 (2017): 933-944.
Diao, Guoqing, Donglin Zeng, Joseph G. Ibrahim, Alan Rong, Oliver Lee, Kathy Zhang, and Qingxia Chen. "Statistical design of noninferiority multiple region clinical trials to assess global and consistent treatment effects." J Biopharm Stat 27, no. 6 (2017): 933-944.
Zhang, Aijing, Jung-Ying Tzeng, and Shein-Chung Chow. "Statistical considerations in biosimilar assessment using biosimilarity index." J Bioequivalence Bioavailab 5, no. 5 (2013): 209-214.
Rao, Shangbang, Joseph G. Ibrahim, Jian Cheng, Pew-Thian Yap, and Hongtu Zhu. "SR-HARDI: Spatially Regularizing High Angular Resolution Diffusion Imaging." J Comput Graph Stat 25, no. 4 (2016): 1195-1211.
Sun, Qiang, Hongtu Zhu, Yufeng Liu, and Joseph G. Ibrahim. "SPReM: Sparse Projection Regression Model For High-dimensional Linear Regression." J Am Stat Assoc 110, no. 509 (2015): 289-302.
Guo, Ruixin, Mihye Ahn, and Hongtu Zhu. "Spatially Weighted Principal Component Analysis for Imaging Classification." J Comput Graph Stat 24, no. 1 (2015): 274-296.
Song, Rui, Michael Kosorok, Donglin Zeng, Yingqi Zhao, Eric Laber, and Ming Yuan. "On Sparse representation for Optimal Individualized Treatment Selection with Penalized Outcome Weighted Learning." Stat 4, no. 1 (2015): 59-68.
Song, Rui, Michael Kosorok, Donglin Zeng, Yingqi Zhao, Eric Laber, and Ming Yuan. "On Sparse representation for Optimal Individualized Treatment Selection with Penalized Outcome Weighted Learning." Stat 4, no. 1 (2015): 59-68.
He, Qianchuan, Hao Helen Zhang, Christy L. Avery, and D Y. Lin. "Sparse meta-analysis with high-dimensional data." Biostatistics 17, no. 2 (2016): 205-20.
Cheng, Guang, Hao Helen Zhang, and Zuofeng Shang. "Sparse and Efficient Estimation for Partial Spline Models with Increasing Dimension." Ann Inst Stat Math 67, no. 1 (2015): 93-127.
Liu, Leo Yu- Feng, Yufeng Liu, and Hongtu Zhu. "SMAC: Spatial multi-category angle-based classifier for high-dimensional neuroimaging data." Neuroimage 175 (2018): 230-245.
Wisdom, Amy J., Yvonne M. Mowery, Cierra S. Hong, Jonathon E. Himes, Barzin Y. Nabet, Xiaodi Qin, Dadong Zhang, Lan Chen, Hélène Fradin, Rutulkumar Patel et al. "Single cell analysis reveals distinct immune landscapes in transplant and primary sarcomas that determine response or resistance to immunotherapy." Nat Commun 11, no. 1 (2020): 6410.
Chen, Yasheng, Songbai Ji, Xunlei Wu, Hongyu An, Hongtu Zhu, Dinggang Shen, and Weili Lin. "Simulation of brain mass effect with an arbitrary Lagrangian and Eulerian FEM." Med Image Comput Comput Assist Interv 13, no. Pt 2 (2010): 274-81.
Hyun, Jung Won, Yimei Li, John H. Gilmore, Zhaohua Lu, Martin Styner, and Hongtu Zhu. "SGPP: spatial Gaussian predictive process models for neuroimaging data." Neuroimage 89 (2014): 70-80.
Skup, Martha, Hongtu Zhu, Yaping Wang, Kelly S. Giovanello, Ja-an Lin, Dinggang Shen, Feng Shi, Wei Gao, Weili Lin, Yong Fan et al. "Sex differences in grey matter atrophy patterns among AD and aMCI patients: results from ADNI." Neuroimage 56, no. 3 (2011): 890-906.

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