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Zou, Baiming, Bo Jin, Gary G. Koch, Haibo Zhou, Stephen E. Borst, Sandeep Menon, and Jonathan J. Shuster. "On model selections for repeated measurement data in clinical studies." Stat Med 34, no. 10 (2015): 1621-33.
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, Jianwen Cai, Gary G. Koch, Haibo Zhou, and Fei Zou. "A model-based conditional power assessment for decision making in randomized controlled trial studies." Stat Med 36, no. 30 (2017): 4765-4776.
Zhu, Hongtu, Martin Styner, Yimei Li, Linglong Kong, Yundi Shi, Weili Lin, Christopher Coe, and John H. Gilmore. "Multivariate varying coefficient models for DTI tract statistics." Med Image Comput Comput Assist Interv 13, no. Pt 1 (2010): 690-7.
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.
Zhu, Ruoqing, and Michael R. Kosorok. "Recursively Imputed Survival Trees." J Am Stat Assoc 107, no. 497 (2012): 331-340.
Zhu, Hongtu, Joseph G. Ibrahim, and Ming-Hui Chen. "Diagnostic Measures for the Cox Regression Model with Missing Covariates." Biometrika 102, no. 4 (2015): 907-923.
Zhu, Hongtu, Linglong Kong, Runze Li, Martin Styner, Guido Gerig, Weili Lin, and John H. Gilmore. "FADTTS: functional analysis of diffusion tensor tract statistics." Neuroimage 56, no. 3 (2011): 1412-25.
Zhu, Hongtu, Joseph G. Ibrahim, and Hyunsoon Cho. "PERTURBATION AND SCALED COOK'S DISTANCE." Ann Stat 40, no. 2 (2012): 785-811.
Zhu, Ruoqing, and Michael R. Kosorok. RLT: Reinforcement learning trees (R).. 2.0 ed., 2015.
Zhu, Anqi, Joseph G. Ibrahim, and Michael I. Love. "Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differences." Bioinformatics 35, no. 12 (2019): 2084-2092.
Zhu, Hongtu, Joseph G. Ibrahim, Hyunsoon Cho, and Niansheng Tang. "Bayesian Case Influence Measures for Statistical Models with Missing Data." J Comput Graph Stat 21, no. 1 (2012): 253-271.
Zhu, Anqi, Joseph G. Ibrahim, and Michael I. Love. apeglm: Approximate posterior estimation for GLM coefficients (R)., 2018.
Zhu, Wensheng, Donglin Zeng, and Rui Song. "Proper Inference for Value Function in High-Dimensional Q-Learning for Dynamic Treatment Regimes." J Am Stat Assoc 114, no. 527 (2019): 1404-1417.
Zhu, Hongtu, Joseph G. Ibrahim, and Niansheng Tang. "Bayesian Sensitivity Analysis of Statistical Models with Missing Data." Stat Sin 24, no. 2 (2014): 871-896.
Zhu, Hongtu, Zakaria Khondker, Zhaohua Lu, and Joseph G. Ibrahim. "Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers." J Am Stat Assoc 109, no. 507 (2014): 997-990.
Zhu, Hongtu, Runze Li, and Linglong Kong. "MULTIVARIATE VARYING COEFFICIENT MODEL FOR FUNCTIONAL RESPONSES." Ann Stat 40, no. 5 (2012): 2634-2666.
Zhu, Hongtu, Joseph G. Ibrahim, and Hyunsoon Cho. Perturbation and scaled Cook's distance (C++/Matlab).., 2012.
Zhu, Hongtu, Joseph G. Ibrahim, Yueh-Yun Chi, and Niansheng Tang. "Bayesian influence measures for joint models for longitudinal and survival data." Biometrics 68, no. 3 (2012): 954-64.
Zhu, Ruoqing, Ying-Qi Zhao, Guanhua Chen, Shuangge Ma, and Hongyu Zhao. "Greedy outcome weighted tree learning of optimal personalized treatment rules." Biometrics 73, no. 2 (2017): 391-400.
Zhu, Hongtu, Joseph G. Ibrahim, and Qingxia Chen. "Bayesian Case-deletion Model Complexity and Information Criterion." Stat Interface 7, no. 4 (2014): 531-542.
Zhu, Hongtu, Joseph G. Ibrahim, and Niansheng Tang. "Bayesian influence analysis: a geometric approach." Biometrika 98, no. 2 (2011): 307-323.
Zhu, Ruoqing, Donglin Zeng, and Michael R. Kosorok. "Reinforcement Learning Trees." J Am Stat Assoc 110, no. 512 (2015): 1770-1784.
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.
Zhou, Qingning, Jianwen Cai, and Haibo Zhou. "Semiparametric inference for a two-stage outcome-dependent sampling design with interval-censored failure time data." Lifetime Data Anal 26, no. 1 (2020): 85-108.
Zhou, Haibo, Yuanshan Wu, Yanyan Liu, and Jianwen Cai. "Semiparametric inference for a 2-stage outcome-auxiliary-dependent sampling design with continuous outcome." Biostatistics 12, no. 3 (2011): 521-34.
Zhou, Yi-Hui, and Fred A. Wright. "Hypothesis testing at the extremes: fast and robust association for high-throughput data." Biostatistics 16, no. 3 (2015): 611-25.
Zhou, Qingning, Jianwen Cai, and Haibo Zhou. "Outcome-dependent sampling with interval-censored failure time data." Biometrics 74, no. 1 (2018): 58-67.
Zhou, Yi-Hui, William T. Barry, and Fred A. Wright. "Empirical pathway analysis, without permutation." Biostatistics 14, no. 3 (2013): 573-85.
Zhou, Haibo, Wangli Xu, Donglin Zeng, and Jianwen Cai. "Semiparametric Inference for Data with a Continuous Outcome from a Two-Phase Probability Dependent Sampling Scheme." J R Stat Soc Series B Stat Methodol 76, no. 1 (2014): 197-215.
Zhou, Jie, Jiajia Zhang, and Wenbin Lu. "Computationally Efficient Estimation for the Generalized Odds Rate Mixture Cure Model with Interval-Censored Data." J Comput Graph Stat 27, no. 1 (2018): 48-58.
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. "An Expectation Maximization algorithm for fitting the generalized odds-rate model to interval censored data." Stat Med 36, no. 7 (2017): 1157-1171.
Zhou, Xin, Nicole Mayer-Hamblett, Umer Khan, and Michael R. Kosorok. "Residual Weighted Learning for Estimating Individualized Treatment Rules." J Am Stat Assoc 112, no. 517 (2017): 169-187.
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, 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, Yi-Hui. mcc: Moment corrected correlation an approximation to exact association testing of two vectors (R).. 1.0 ed., 2014.
Zhou, Q, H Zhou, and J Cai. "Case-cohort studies with interval-censored failure time data." Biometrika 104, no. 1 (2017): 17-29.
Zhou, Fan, Haibo Zhou, Tengfei Li, and Hongtu Zhu. "Analysis of secondary phenotypes in multigroup association studies." Biometrics 76, no. 2 (2020): 606-618.
Zhou, Jie, Jiajia Zhang, and Wenbin Lu. ICGOR: Fit Generalized Odds Rate Hazards Model with Interval Censored Data (R). 2.0 ed., 2017.
Zhao, Ying-Qi, and Eric B. Laber. "Estimation of optimal dynamic treatment regimes." Clin Trials 11, no. 4 (2014): 400-407.
Zhao, Jingkang, Dongshunyi Li, Jungkyun Seo, Andrew S. Allen, and Raluca Gordân. "Quantifying the Impact of Non-coding Variants on Transcription Factor-DNA Binding." Res Comput Mol Biol 10229 (2017): 336-352.
Zhao, Ying-Qi, Eric B. Laber, Yang Ning, Sumona Saha, and Bruce E. Sands. "Efficient augmentation and relaxation learning for individualized treatment rules using observational data." J Mach Learn Res 20 (2019).
Zhao, Guolin, Rachel Marceau, Daowen Zhang, and Jung-Ying Tzeng. "Assessing gene-environment interactions for common and rare variants with binary traits using gene-trait similarity regression." Genetics 199, no. 3 (2015): 695-710.
Zhao, Ying-Qi, Donglin Zeng, Eric B. Laber, and Michael R. Kosorok. "New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes." J Am Stat Assoc 110, no. 510 (2015): 583-598.
Zhao, Yue, Amy H. Herring, Haibo Zhou, Mirza W. Ali, and Gary G. Koch. "A multiple imputation method for sensitivity analyses of time-to-event data with possibly informative censoring." J Biopharm Stat 24, no. 2 (2014): 229-53.
Zhao, Y Q., D Zeng, E B. Laber, R Song, M Yuan, and M R. Kosorok. "Doubly Robust Learning for Estimating Individualized Treatment with Censored Data." Biometrika 102, no. 1 (2015): 151-168.
Zhao, Yingqi. Estimating Individualized Treatment Rules Using Outcome Weighted Learning., 2011.
Zhao, Yue, Benjamin R. Saville, Haibo Zhou, and Gary G. Koch. "Sensitivity analysis for missing outcomes in time-to-event data with covariate adjustment." J Biopharm Stat 26, no. 2 (2016): 269-79.
Zhao, Luping. Measures of Clinical Benefit in Immuno-Oncology Studies., 2016.
Zhao, Yufan, Donglin Zeng, Mark A. Socinski, and Michael R. Kosorok. "Reinforcement learning strategies for clinical trials in nonsmall cell lung cancer." Biometrics 67, no. 4 (2011): 1422-33.
Zhao, Ying-Qi, and Michael R. Kosorok. "Discussion of combining biomarkers to optimize patient treatment recommendations." Biometrics 70, no. 3 (2014): 713-6.
Zhao, Junlong, Guan Yu, and Yufeng Liu. "ASSESSING ROBUSTNESS OF CLASSIFICATION USING ANGULAR BREAKDOWN POINT." Ann Stat 46, no. 6B (2018): 3362-3389.
Zhao, Yingqi. Estimation of Optimal Dynamic Treatment Regimes., 2014.
Zhao, Yingqi, Donglin Zeng, John A Rush, and Michael R. Kosorok. "Estimating Individualized Treatment Rules Using Outcome Weighted Learning." J Am Stat Assoc 107, no. 449 (2012): 1106-1118.
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.
Zhang, Chong, Minh Pham, Sheng Fu, and Yufeng Liu. "Robust Multicategory Support Vector Machines using Difference Convex Algorithm." Math Program 169, no. 1 (2018): 277-305.
Zhang, Yuanye, Ming-Hui Chen, Joseph G. Ibrahim, Donglin Zeng, Qingxia Chen, Zhiying Pan, and Xiaodong Xue. "Bayesian gamma frailty models for survival data with semi-competing risks and treatment switching." Lifetime Data Anal 20, no. 1 (2014): 76-105.
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.
Zhang, Chong, Yufeng Liu, and Yichao Wu. "On Quantile Regression in Reproducing Kernel Hilbert Spaces with Data Sparsity Constraint." J Mach Learn Res 17, no. 40 (2016): 1-45.
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, Guosheng, Kuan-Chieh Huang, Zheng Xu, Jung-Ying Tzeng, Karen N. Conneely, Weihua Guan, Jian Kang, and Yun Li. "Across-Platform Imputation of DNA Methylation Levels Incorporating Nonlocal Information Using Penalized Functional Regression." Genet Epidemiol 40, no. 4 (2016): 333-40.
Zhang, Danjie, Ming-Hui Chen, Joseph G. Ibrahim, Mark E. Boye, and Wei Shen. "Bayesian Model Assessment in Joint Modeling of Longitudinal and Survival Data with Applications to Cancer Clinical Trials." J Comput Graph Stat 26, no. 1 (2017): 121-133.
Zhang, Min, Anastasios A. Tsiatis, Marie Davidian, Karen S. Pieper, and Kenneth W. Mahaffey. "Inference on treatment effects from a randomized clinical trial in the presence of premature treatment discontinuation: the SYNERGY trial." Biostatistics 12, no. 2 (2011): 258-69.
Zhang, Jianrong, Wenhua Liang, Hengrui Liang, Xiaofei Wang, and Jianxing He. "Endpoint surrogacy in oncological randomized controlled trials with immunotherapies: a systematic review of trial-level and arm-level meta-analyses." Ann Transl Med 7, no. 11 (2019): 244.
Zhang, Aijing, Jung-Ying Tzeng, and Shein-Chung Chow. "Establishment of reference standards in biosimilar studies." GaBI J 2, no. 4 (2013): 173-177.
Zhang, Xiang, Yichao Wu, Lan Wang, and Runze Li. "A Consistent Information Criterion for Support Vector Machines in Diverging Model Spaces." J Mach Learn Res 17, no. 16 (2016): 1-26.
Zhang, Baqun, Anastasios A. Tsiatis, Eric B. Laber, and Marie Davidian. "A robust method for estimating optimal treatment regimes." Biometrics 68, no. 4 (2012): 1010-8.
Zhang, Danjie, Ming-Hui Chen, and Joseph G. Ibrahim. JMfit - For fitting joint models for longitudinal and survival data (SAS)., 2014.
Zhang, Danjie, Ming-Hui Chen, Joseph G. Ibrahim, Mark E. Boye, Ping Wang, and Wei Shen. "Assessing model fit in joint models of longitudinal and survival data with applications to cancer clinical trials." Stat Med 33, no. 27 (2014): 4715-33.
Zhang, Xiang, Shunping Huang, Wei Sun, and Wei Wang. "Rapid and robust resampling-based multiple-testing correction with application in a genome-wide expression quantitative trait loci study." Genetics 190, no. 4 (2012): 1511-20.
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.
Zhang, Chong, Yufeng Liu, and Shannon T. Holloway. RAMSVM: Reinforced angle-based multicategory support vector machines (R).. 2.0 ed., 2016.
Zhang, Danjie, Ming-Hui Chen, Joseph G. Ibrahim, Mark E. Boye, and Wei Shen. "JMFit: A SAS Macro for Joint Models of Longitudinal and Survival Data." J Stat Softw 71, no. 3 (2016).
Zhang, Baqun, Anastasios A. Tsiatis, Eric B. Laber, and Marie Davidian. "Response to reader reaction." Biometrics 71, no. 1 (2015): 267-273.
Zhang, Baqun, Anastasios A. Tsiatis, Eric B. Laber, and Marie Davidian. "Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions." Biometrika 100, no. 3 (2013).
Zhang, Yichi. Interpretable treatment regimes., 2014.
Zhang, Baqun, Anastasios A. Tsiatis, Marie Davidian, Min Zhang, and Eric Laber. "Estimating Optimal Treatment Regimes from a Classification Perspective." Stat 1, no. 1 (2012): 103-114.
Zhang, Yichi, Eric B. Laber, Marie Davidian, and Anastasios A. Tsiatis. "Interpretable Dynamic Treatment Regimes." J Am Stat Assoc 113, no. 524 (2018): 1541-1549.
Zhang, Hao Helen, Guang Cheng, and Yufeng Liu. "Linear or Nonlinear? Automatic Structure Discovery for Partially Linear Models." J Am Stat Assoc 106, no. 495 (2011): 1099-1112.
Zhang, Chong, and Yufeng Liu. "Multicategory angle-based large-margin classification." Biometrika 101, no. 3 (2014): 625-640.
Zhang, Hong, Donglin Zeng, Sylviane Olschwang, and Kai Yu. "Semiparametric inference on the penetrances of rare genetic mutations based on a case-family design." J Stat Plan Inference 143, no. 2 (2013): 368-377.
Zhang, Jing, Bradley P. Carlin, James D. Neaton, Guoxing G. Soon, Lei Nie, Robert Kane, Beth A. Virnig, and Haitao Chu. "Network meta-analysis of randomized clinical trials: reporting the proper summaries." Clin Trials 11, no. 2 (2014): 246-62.
Zhang, Chong, Yufeng Liu, Junhui Wang, and Hongtu Zhu. "Reinforced Angle-based Multicategory Support Vector Machines." J Comput Graph Stat 25, no. 3 (2016): 806-825.
Zeng, Donglin, Ming-Hui Chen, Joseph G. Ibrahim, Rachel Wei, Beiying Ding, Chunlei Ke, and Qi Jiang. "A counterfactual p-value approach for benefit-risk assessment in clinical trials." J Biopharm Stat 25, no. 3 (2015): 508-24.
Zeng, Donglin, Qingxia Chen, Ming-Hui Chen, and Joseph G. Ibrahim. "Estimating treatment effects with treatment switching via semicompeting risks models: an application to a colorectal cancer study." Biometrika 99, no. 1 (2012): 167-184.
Zeng, Donglin, Lu Mao, and D Y. Lin. "Maximum likelihood estimation for semiparametric transformation models with interval-censored data." Biometrika 103, no. 2 (2016): 253-271.
Zeng, Donglin, Noorie Hyun, and Jianwen Cai. "Semiparametric Additive Model for Estimating Risk Difference in Multicenter Studies." Biostat Epidemiol 2, no. 1 (2018): 84-98.
Zeng, Donglin, Joseph G. Ibrahim, Ming-Hui Chen, Kuolung Hu, and Catherine Jia. "Multivariate recurrent events in the presence of multivariate informative censoring with applications to bleeding and transfusion events in myelodysplastic syndrome." J Biopharm Stat 24, no. 2 (2014): 429-42.
Zeng, Donglin, Douglas E. Schaubel, and Jianwen Cai. "Semiparametric Transformation Rate Model for Recurrent Event Data." Stat Biosci 3, no. 2 (2011): 187-207.
Zeng, Donglin, Fei Gao, Kuolung Hu, Catherine Jia, and Joseph G. Ibrahim. "Hypothesis testing for two-stage designs with over or under enrollment." Stat Med 34, no. 16 (2015): 2417-26.
Zeng, Donglin, Fei Gao, and D Y. Lin. "Maximum likelihood estimation for semiparametric regression models with multivariate interval-censored data." Biometrika 104, no. 3 (2017): 505-525.
Zeng, Donglin. Estimating treatment effects with treatment switching via semi-competing risks models: An application to a colorectal cancer study., 2011.
Zeng, Donglin, Emil Cornea, Jun Dong, Jean Pan, and Joseph G. Ibrahim. "Assessing temporal agreement between central and local progression-free survival times." Stat Med 34, no. 5 (2015): 844-58.
Zeng, Donglin, and D Y. Lin. "Efficient Estimation of Semiparametric Transformation Models for Two-Phase Cohort Studies." J Am Stat Assoc 109, no. 505 (2014): 371-383.