Publications

Filters: First Letter Of Last Name is Z  [Clear All Filters]
Journal Article
Geng, Yuan, Hao Helen Zhang, and Wenbin Lu. "On optimal treatment regimes selection for mean survival time." Stat Med 34, no. 7 (2015): 1169-84.
Yu, Jichang, Yanyan Liu, Jianwen Cai, Dale P. Sandler, and Haibo Zhou. "Outcome-Dependent Sampling Design and Inference for Cox's Proportional Hazards Model." J Stat Plan Inference 178 (2016): 24-36.
Zhou, Qingning, Jianwen Cai, and Haibo Zhou. "Outcome-dependent sampling with interval-censored failure time data." Biometrics 74, no. 1 (2018): 58-67.
Zhou, Qingning, Jianwen Cai, and Haibo Zhou. "Outcome-dependent sampling with interval-censored failure time data." Biometrics 74, no. 1 (2018): 58-67.
Wang, Xin, Daowen Zhang, and Jung-Ying Tzeng. "Pathway-guided identification of gene-gene interactions." Ann Hum Genet 78, no. 6 (2014): 478-91.
Gao, Fei, Jun Dong, Donglin Zeng, Alan Rong, and Joseph G. Ibrahim. "Pattern mixture models for clinical validation of biomarkers in the presence of missing data." Stat Med 36, no. 19 (2017): 2994-3004.
Chen, Huaihou, Donglin Zeng, and Yuanjia Wang. "Penalized nonlinear mixed effects model to identify biomarkers that predict disease progression." Biometrics 73, no. 4 (2017): 1343-1354.
Song, R, W Wang, D Zeng, and M R. Kosorok. "Penalized Q-Learning for Dynamic Treatment Regimens." Stat Sin 25, no. 3 (2015): 901-920.
Chen, Guanhua, Donglin Zeng, and Michael R. Kosorok. "Personalized Dose Finding Using Outcome Weighted Learning." J Am Stat Assoc 111, no. 516 (2016): 1509-1521.
Zhu, Hongtu, Joseph G. Ibrahim, and Hyunsoon Cho. "PERTURBATION AND SCALED COOK'S DISTANCE." Ann Stat 40, no. 2 (2012): 785-811.
Musolino, Antonino, Mario Campone, Patrick Neven, Neelima Denduluri, Carlos H. Barrios, Javier Cortes, Kimberly Blackwell, Hatem Soliman, Zsuzsanna Kahan, Hervé Bonnefoi et al. "Phase II, randomized, placebo-controlled study of dovitinib in combination with fulvestrant in postmenopausal patients with HR, HER2 breast cancer that had progressed during or after prior endocrine therapy." Breast Cancer Res 19, no. 1 (2017): 18.
Anderson, Gray R., Suzanne E. Wardell, Merve Cakir, Lorin Crawford, Jim C. Leeds, Daniel P. Nussbaum, Pallavi S. Shankar, Ryan S. Soderquist, Elizabeth M. Stein, Jennifer P. Tingley et al. "PIK3CA mutations enable targeting of a breast tumor dependency through mTOR-mediated MCL-1 translation." Sci Transl Med 8, no. 369 (2016): 369ra175.
Stinchcombe, Thomas E., Ying Zhang, Everett E. Vokes, Joan H. Schiller, Jeffrey D. Bradley, Karen Kelly, Walter J. Curran, Steven E. Schild, Benjamin Movsas, Gerald Clamon et al. "Pooled Analysis of Individual Patient Data on Concurrent Chemoradiotherapy for Stage III Non-Small-Cell Lung Cancer in Elderly Patients Compared With Younger Patients Who Participated in US National Cancer Institute Cooperative Group Studies." J Clin Oncol 35, no. 25 (2017): 2885-2892.
Chen, Mengjie, Chao Gao, and Hongyu Zhao. "Posterior Contraction Rates of the Phylogenetic Indian Buffet Processes." Bayesian Anal 11, no. 2 (2016): 477-497.
Kong, Dehan, Kelly S. Giovanello, Yalin Wang, Weili Lin, Eunjee Lee, Yong Fan, Murali P Doraiswamy, and Hongtu Zhu. "Predicting Alzheimer's Disease Using Combined Imaging-Whole Genome SNP Data." J Alzheimers Dis 46, no. 3 (2015): 695-702.
Chen, Li, D Y. Lin, and Donglin Zeng. "Predictive accuracy of covariates for event times." Biometrika 99, no. 3 (2012): 615-630.
Liu, Zhongkai, Rui Song, Donglin Zeng, and Jiajia Zhang. "Principal Components Adjusted Variable Screening." Comput Stat Data Anal 110 (2017): 134-144.
Liu, Zhongkai, Rui Song, Donglin Zeng, and Jiajia Zhang. "Principal Components Adjusted Variable Screening." Comput Stat Data Anal 110 (2017): 134-144.
Shin, Seung Jun, Yichao Wu, Hao Helen Zhang, and Yufeng Liu. "Probability-enhanced sufficient dimension reduction for binary classification." Biometrics 70, no. 3 (2014): 546-55.
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, 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.
Deng, Yu, Donglin Zeng, Jinying Zhao, and Jianwen Cai. "Proportional hazards model with a change point for clustered event data." Biometrics 73, no. 3 (2017): 835-845.
Deng, Yu, Donglin Zeng, Jinying Zhao, and Jianwen Cai. "Proportional hazards model with a change point for clustered event data." Biometrics 73, no. 3 (2017): 835-845.
Chen, Qingxia, Donglin Zeng, Joseph G. Ibrahim, Ming-Hui Chen, Zhiying Pan, and Xiaodong Xue. "Quantifying the average of the time-varying hazard ratio via a class of transformations." Lifetime Data Anal 21, no. 2 (2015): 259-79.
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.
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.
Ou, Fang-Shu, Donglin Zeng, and Jianwen Cai. "Quantile Regression Models for Current Status Data." J Stat Plan Inference 178 (2016): 112-127.
Wang, Lan, Yu Zhou, Rui Song, and Ben Sherwood. "Quantile-Optimal Treatment Regimes." J Am Stat Assoc 113, no. 523 (2018): 1243-1254.
Lin, Dan-Yu, Donglin Zeng, and Zheng-Zheng Tang. "Quantitative trait analysis in sequencing studies under trait-dependent sampling." Proc Natl Acad Sci U S A 110, no. 30 (2013): 12247-52.
Pang, Herbert, Inyoung Kim, and Hongyu Zhao. "Random Effects Model for Multiple Pathway Analysis with Applications to Type II Diabetes Microarray Data." Stat Biosci 7, no. 2 (2015): 167-186.
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.
Ding, Jieli, Tsui-Shan Lu, Jianwen Cai, and Haibo Zhou. "Recent progresses in outcome-dependent sampling with failure time data." Lifetime Data Anal 23, no. 1 (2017): 57-82.
Zhu, Ruoqing, and Michael R. Kosorok. "Recursively Imputed Survival Trees." J Am Stat Assoc 107, no. 497 (2012): 331-340.
Pan, Yinghao, Jianwen Cai, Sangmi Kim, and Haibo Zhou. "Regression analysis for secondary response variable in a case-cohort study." Biometrics 74, no. 3 (2018): 1014-1022.
Cao, Hongyuan, Donglin Zeng, and Jason P. Fine. "Regression analysis of sparse asynchronous longitudinal data." J R Stat Soc Series B Stat Methodol 77, no. 4 (2015): 755-776.
Li, Jialiang, Andrew Xiaohua Zhou, and Jason P. Fine. "A regression approach to ROC surface, with applications to Alzheimer's disease." Sci China Math 55, no. 8 (2012): 1583-1595.
Cornea, Emil, Hongtu Zhu, Peter Kim, and Joseph G. Ibrahim. "Regression Models on Riemannian Symmetric Spaces." J R Stat Soc Series B Stat Methodol 79, no. 2 (2017): 463-482.
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.
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.
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, 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.
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." J Am Stat Assoc 110, no. 512 (2015): 1770-1784.
Lin, D Y., and D Zeng. "On the relative efficiency of using summary statistics versus individual-level data in meta-analysis." Biometrika 97, no. 2 (2010): 321-332.
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.
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, 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, 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.
Xiao, W, H H. Zhang, and W Lu. "Robust regression for optimal individualized treatment rules." Stat Med 38, no. 11 (2019): 2059-2073.
Wong, Kin Yau, Donglin Zeng, and D Y. Lin. "Robust Score Tests With Missing Data in Genomics Studies." J Am Stat Assoc 114, no. 528 (2019): 1778-1786.
Esserman, Denise, Yingqi Zhao, Yiyun Tang, and Jianwen Cai. "Sample size estimation in educational intervention trials with subgroup heterogeneity in only one arm." Stat Med 32, no. 12 (2013): 2140-54.
Hu, Wenrong, Jianwen Cai, and Donglin Zeng. "Sample size/power calculation for stratified case-cohort design." Stat Med 33, no. 23 (2014): 3973-85.
Pan, Yinghao, Jianwen Cai, Matthew P. Longnecker, and Haibo Zhou. "Secondary outcome analysis for data from an outcome-dependent sampling design." Stat Med 37, no. 15 (2018): 2321-2337.
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.
Hua, Zhaowei, Hongtu Zhu, and David B. Dunson. "Semiparametric Bayes local additive models for longitudinal data." Stat Biosci 7, no. 1 (2015): 90-107.
Hua, Zhaowei, David B. Dunson, John H. Gilmore, Martin A. Styner, and Hongtu Zhu. "Semiparametric Bayesian local functional models for diffusion tensor tract statistics." Neuroimage 63, no. 1 (2012): 460-74.
Gao, Fei, Donglin Zeng, and Dan-Yu Lin. "Semiparametric estimation of the accelerated failure time model with partly interval-censored data." Biometrics 73, no. 4 (2017): 1161-1168.
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, 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, 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, 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, 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.
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, 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.
Mao, Lu, Dan-Yu Lin, and Donglin Zeng. "Semiparametric regression analysis of interval-censored competing risks data." Biometrics 73, no. 3 (2017): 857-865.
Gao, Fei, Donglin Zeng, and Dan-Yu Lin. "Semiparametric regression analysis of interval-censored data with informative dropout." Biometrics 74, no. 4 (2018): 1213-1222.
Gao, Fei, Donglin Zeng, David Couper, and D Y. Lin. "Semiparametric Regression Analysis of Multiple Right- and Interval-Censored Events." J Am Stat Assoc 114, no. 527 (2019): 1232-1240.
Liang, Baosheng, Xingwei Tong, Donglin Zeng, and Yuanjia Wang. "SEMIPARAMETRIC REGRESSION ANALYSIS OF REPEATED CURRENT STATUS DATA." Stat Sin 27, no. 3 (2017): 1079-1100.
Kim, Eunhee, and Donglin Zeng. "SEMIPARAMETRIC ROC ANALYSIS USING ACCELERATED REGRESSION MODELS." Stat Sin 23 (2013): 829-851.
Song, Rui, Shikai Luo, Donglin Zeng, Hao Helen Zhang, Wenbin Lu, and Zhiguo Li. "Semiparametric Single-Index Model for Estimating Optimal Individualized Treatment Strategy." Electron J Stat 11, no. 1 (2017): 364-384.
Song, Rui, Shikai Luo, Donglin Zeng, Hao Helen Zhang, Wenbin Lu, and Zhiguo Li. "Semiparametric Single-Index Model for Estimating Optimal Individualized Treatment Strategy." Electron J Stat 11, no. 1 (2017): 364-384.
Zeng, Donglin, Douglas E. Schaubel, and Jianwen Cai. "Semiparametric Transformation Rate Model for Recurrent Event Data." Stat Biosci 3, no. 2 (2011): 187-207.
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, 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.
Liu, Ying, Yuanjia Wang, and Donglin Zeng. "Sequential multiple assignment randomization trials with enrichment design." Biometrics 73, no. 2 (2017): 378-390.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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).
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.
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.
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.

Pages