Publications

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Chen, Li, D Y. Lin, and Donglin Zeng. "Predictive accuracy of covariates for event times." Biometrika 99, no. 3 (2012): 615-630.
Wu, Yuan, Xiaofei Wang, Jiaxing Lin, Beilin Jia, and Kouros Owzar. "Predictive accuracy of markers or risk scores for interval censored survival data." Stat Med 39, no. 18 (2020): 2437-2446.
Secord, Angeles Alvarez, Kirsten Bell Burdett, Kouros Owzar, David Tritchler, Alexander B. Sibley, Yingmiao Liu, Mark D. Starr, Chris J Brady, Heather A. Lankes, Herbert I. Hurwitz et al. "Predictive Blood-Based Biomarkers in Patients with Epithelial Ovarian Cancer Treated with Carboplatin and Paclitaxel with or without Bevacizumab: Results from GOG-0218." Clin Cancer Res 26, no. 6 (2020): 1288-1296.
Tang, Zheng-Zheng, Paul Bunn, Ran Tao, Zhouwen Liu, and Dan-Yu Lin. "PreMeta: a tool to facilitate meta-analysis of rare-variant associations." BMC Genomics 18, no. 1 (2017): 160.
Tang, Zheng-Zheng, Paul Bunn, Ran Tao, Z Liu, and Dan-Yu Lin. PreMeta: Facilitates the Exchange of Information Between Software Packages for Meta-Analysis (C++)., 2017.
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.
Hu, Yi-Juan, Wei Sun, Jung-Ying Tzeng, and Charles M. Perou. "Proper Use of Allele-Specific Expression Improves Statistical Power for -eQTL Mapping with RNA-Seq Data." J Am Stat Assoc 110, no. 511 (2015): 962-974.
Milanzi, Elasma, Geert Molenberghs, Ariel Alonso, Michael G. Kenward, Geert Verbeke, Anastasios A. Tsiatis, and Marie Davidian. "Properties of Estimators in Exponential Family Settings with Observation-based Stopping Rules." J Biom Biostat 7, no. 1 (2016).
Joeng, Hee-Koung, Ming-Hui Chen, and Sangwook Kang. "Proportional exponentiated link transformed hazards (ELTH) models for discrete time survival data with application." Lifetime Data Anal 22, no. 1 (2016): 38-62.
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.
Amorim, Leila D. A. F., Jianwen Cai, and Donglin Zeng. "Proportional rate models for recurrent time event data under dependent censoring: A comparative study." In Recent Advances in Biostatistics, 123-141. Vol. 4., 2011.
Naqa, Issam El, Michael R. Kosorok, Judy Jin, Michelle Mierzwa, and Randall K. Ten Haken. "Prospects and challenges for clinical decision support in the era of big data." JCO Clin Cancer Inform 2 (2018).
Tan, Hung-Jui, Anne-Marie Meyer, Tzy-Mey Kuo, Angela B. Smith, Stephanie B. Wheeler, William R. Carpenter, and Matthew E. Nielsen. "Provider-based research networks and diffusion of surgical technologies among patients with early-stage kidney cancer." Cancer 121, no. 6 (2015): 836-43.
Rashid, Naim U., Xianlu L. Peng, Chong Jin, Richard A. Moffitt, Keith E. Volmar, Brian A. Belt, Roheena Z. Panni, Timothy M. Nywening, Silvia G. Herrera, Kristin J. Moore et al. "Purity Independent Subtyping of Tumors (PurIST), A Clinically Robust, Single-sample Classifier for Tumor Subtyping in Pancreatic Cancer." Clin Cancer Res 26, no. 1 (2020): 82-92.
Boos, Dennis D., and Leonard A. Stefanski. "P-Value Precision and Reproducibility." Am Stat 65, no. 4 (2011): 213-221.
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Schulte, Phillip J., Anastasios A. Tsiatis, Eric B. Laber, and Marie Davidian. "Q- and A-learning Methods for Estimating Optimal Dynamic Treatment Regimes." Stat Sci 29, no. 4 (2014): 640-661.
Laber, Eric B., E Rose, Marie Davidian, and Anastasios A. Tsiatis. Q-Learning. In Wiley StatsRef: Statistics Reference Online. Wiley, 2018.
Goldberg, Yair, and Michael R. Kosorok. "Q-LEARNING WITH CENSORED DATA." Ann Stat 40, no. 1 (2012): 529-560.
Blau, S R., L M. Davis, A M. Gorney, C S. Dohse, K D. Williams, J-H Lim, W G. Pfitzner, E Laber, G S. Sawicki, and N J. Olby. "Quantifying center of pressure variability in chondrodystrophoid dogs." Vet J 226 (2017): 26-31.
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.
Lachos, Victor H., Ming-Hui Chen, Carlos A. Abanto-Valle, and Caio L. N. Azevedo. "Quantile regression for censored mixed-effects models with applications to HIV studies." Stat Interface 8, no. 2 (2015): 203-215.
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.
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Cobran, Ewan K., Ronald C. Chen, Robert Overman, Anne-Marie Meyer, Tzy-Mey Kuo, Jonathon O'Brien, Til Stürmer, Nathan C. Sheets, Gregg H. Goldin, Dolly C. Penn et al. "Racial Differences in Diffusion of Intensity-Modulated Radiation Therapy for Localized Prostate Cancer." Am J Mens Health 10, no. 5 (2016): 399-407.
Yan, Kang K., Xiaofei Wang, Wendy W. T. Lam, Varut Vardhanabhuti, Anne W. M. Lee, and Herbert H. Pang. "Radiomics analysis using stability selection supervised component analysis for right-censored survival data." Comput Biol Med 124 (2020): 103959.
Zhang, Chong, Yufeng Liu, and Shannon T. Holloway. RAMSVM: Reinforced angle-based multicategory support vector machines (R).. 2.0 ed., 2016.
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.
Molenberghs, Geert, Michael G. Kenward, Marc Aerts, Geert Verbeke, Anastasios A. Tsiatis, Marie Davidian, and Dimitris Rizopoulos. "On random sample size, ignorability, ancillarity, completeness, separability, and degeneracy: sequential trials, random sample sizes, and missing data." Stat Methods Med Res 23, no. 1 (2014): 11-41.
Harbeck, Nadia, Oleg Lipatov, Mona Frolova, Dmitry Udovitsa, Eldar Topuzov, Doina Elena Ganea-Motan, Roumen Nakov, Pritibha Singh, Anita Rudy, and Kimberly Blackwell. "Randomized, double-blind study comparing proposed biosimilar LA-EP2006 with reference pegfilgrastim in breast cancer." Future Oncol 12, no. 11 (2016): 1359-67.
Jung, Sin-Ho. Randomized phase II cancer clinical tirals. Boca Raton: Chapman & Hall/CRC Press, 2013.
Jung, Sin-Ho, and Daniel J. Sargent. "Randomized phase II clinical trials." J Biopharm Stat 24, no. 4 (2014): 802-16.
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.
Xue, Xiaoqiang, Matthew C. Foster, and Anastasia Ivanova. "Rapid enrollment design for finding the optimal dose in immunotherapy trials with ordered groups." J Biopharm Stat 29, no. 4 (2019): 625-634.
Ivanova, Anastasia, Yunfei Wang, and Matthew C. Foster. "The rapid enrollment design for Phase I clinical trials." Stat Med 35, no. 15 (2016): 2516-24.
Jeng, Xinge Jessie, Zhongyin John Daye, Wenbin Lu, and Jung-Ying Tzeng. "Rare Variants Association Analysis in Large-Scale Sequencing Studies at the Single Locus Level." PLoS Comput Biol 12, no. 6 (2016): e1004993.
Luckett, Daniel J., Eric B. Laber, Samer S. El-Kamary, Cheng Fan, Ravi Jhaveri, Charles M. Perou, Fatma M. Shebl, and Michael R. Kosorok. "Receiver operating characteristic curves and confidence bands for support vector machines." Biometrics 77, no. 4 (2021): 1422-1430.
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.
Wang, Charlotte, Jung-Ying Tzeng, Pei-Zhen Wu, Martin Preisig, and Chuhsing Kate Hsiao. "Reexamining Dis/Similarity-Based Tests for Rare-Variant Association with Case-Control Samples." Genetics 209, no. 1 (2018): 105-113.
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.
Ni, Ai, and Jianwen Cai. "A regularized variable selection procedure in additive hazards model with stratified case-cohort design." Lifetime Data Anal 24, no. 3 (2018): 443-463.
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.
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." J Am Stat Assoc 110, no. 512 (2015): 1770-1784.
Kong, Dehan, Arnab Maity, Fang-Chi Hsu, and Jung-Ying Tzeng. "Rejoinder to "A note on testing and estimation in marker-set association study using semiparametric quantile regression kernel machine"." Biometrics 74, no. 2 (2018): 767-768.
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.
Yao, Xiaoxin I., Xiaofei Wang, Paul J. Speicher, Shelley E Hwang, Perry Cheng, David H. Harpole, Mark F. Berry, Deborah Schrag, and Herbert H. Pang. "Reporting and Guidelines in Propensity Score Analysis: A Systematic Review of Cancer and Cancer Surgical Studies." J Natl Cancer Inst 109, no. 8 (2017).
Ren, Zheng, Marie Davidian, Stephen L. George, Richard M. Goldberg, Fred A. Wright, Anastasios A. Tsiatis, and Michael R. Kosorok. "Research methods for clinical trials in personalized medicine: A systematic review." In Lost In Translation: Barriers to Incentives for Translational Research in Medical Sciences. Singapore: World Scientific, 2014.
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.
A Gould, Lawrence, Mark Ernest Boye, Michael J. Crowther, Joseph G. Ibrahim, George Quartey, Sandrine Micallef, and Frederic Y. Bois. "Responses to discussants of 'Joint modeling of survival and longitudinal non-survival data: current methods and issues. report of the DIA Bayesian joint modeling working group'." Stat Med 34, no. 14 (2015): 2202-3.
Chen, Xiaolin, and Jianwen Cai. "Reweighted estimators for additive hazard model with censoring indicators missing at random." Lifetime Data Anal 24, no. 2 (2018): 224-249.
Wang, Xiaofei, and Mark F. Berry. "Risk calculators are useful but...." J Thorac Cardiovasc Surg 151, no. 3 (2016): 706-707.
Zhu, Ruoqing, and Michael R. Kosorok. RLT: Reinforcement learning trees (R).. 2.0 ed., 2015.
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).
Martinez, Kara, Arnab Maity, Robert H. Yolken, Patrick F. Sullivan, and Jung-Ying Tzeng. "Robust kernel association testing (RobKAT)." Genet Epidemiol 44, no. 3 (2020): 272-282.
Shi, Chengchun, Rui Song, and Wenbin Lu. "Robust learning for optimal treatment decision with NP-dimensionality." Electron J Stat 10 (2016): 2894-2921.
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.
Davidian, Marie. A robust method for estimating optimal treatment regimes., 2011.
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.
Sohn, Insuk, Kouros Owzar, Stephen L. George, Sujong Kim, and Sin-Ho Jung. "Robust test method for time-course microarray experiments." BMC Bioinformatics 11 (2010): 391.
Wang, Xiaofei, Junling Ma, and Stephen L. George. "ROC curve estimation under test-result-dependent sampling." Biostatistics 14, no. 1 (2013): 160-72.
Yi, Chanhee, Alexander Sibley, and Kouros Owzar. RSNPset: Genome-wide SNP set analysis on the basis of efficient scores (R).. v0.2 ed., 2014.
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Yang, Yuchen, Ruth Huh, Houston W. Culpepper, Yuan Lin, Michael I. Love, and Yun Li. "SAFE-clustering: Single-cell Aggregated (from Ensemble) clustering for single-cell RNA-seq data." Bioinformatics 35, no. 8 (2019): 1269-1277.
Levenson, M. Safety decision-making with multiple sources and different types of studies—recent examples from FDA Advisory Committees., 2011.
Liu, Yang, Wei Sun, and Qianchuan He. SAME: Somatic mutation Association test with Measurement Errors (R)., 2018.
Chen, Liddy M., Joseph G. Ibrahim, and Haitao Chu. "Sample size and power determination in joint modeling of longitudinal and survival data." Stat Med 30, no. 18 (2011): 2295-309.
Li, Jianghao, and Sin-Ho Jung. "Sample size calculation for cluster randomization trials with a time-to-event endpoint." Stat Med 39, no. 25 (2020): 3608-3623.
Jung, Sin-Ho, and Shein-Chung Chow. "On sample size calculation for comparing survival curves under general hypothesis testing." J Biopharm Stat 22, no. 3 (2012): 485-95.
Jung, Sin-Ho, and Shein-Chung Chow. Sample size calculation for comparing survival curves under general hypotheses testing (Fortran).., 2012.
Li, Zhiguo, Xiaofei Wang, Yuan Wu, and Kouros Owzar. "Sample size calculation for studies with grouped survival data." Stat Med 37, no. 27 (2018): 3904-3917.
Pang, Herbert, and Sin-Ho Jung. "Sample size considerations of prediction-validation methods in high-dimensional data for survival outcomes." Genet Epidemiol 37, no. 3 (2013): 276-82.
Chen, Liddy M., Joseph G. Ibrahim, and Haitao Chu. "Sample size determination in shared frailty models for multivariate time-to-event data." J Biopharm Stat 24, no. 4 (2014): 908-23.
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.
Ibrahim, Joseph G., Yeongjin Gwon, and Ming-Hui Chen. "SAS Macro BSMED: Bayesian survival meta-experimental design using historical data." In Pharmaceutical Statistics Using SAS. Cary: SAS Institute Inc, 2016.
Wang, Rujin, Dan-Yu Lin, and Yuchao Jiang. "SCOPE: A Normalization and Copy-Number Estimation Method for Single-Cell DNA Sequencing." Cell Syst 10, no. 5 (2020): 445-452.e6.
Lin, Dan-Yu, and Zheng-Zheng Tang. SCORE-Seq: Score tests for detecting disease associations with rare variants in sequencing studies (C).. 5.0 ed., 2013.
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.
Yuan, Jiacheng, Herbert Pang, Tiejun Tong, Dong Xi, Wenzhao Guo, and Peter Mesenbrink. "Seamless Phase IIa/IIb and enhanced dose-finding adaptive design." J Biopharm Stat 26, no. 5 (2016): 912-23.
Li, Fan, and Andrew S. Allen. "Secondary analysis of case-control association studies: Insights on weighting-based inference motivate a new specification test." Stat Med 39, no. 22 (2020): 2869-2882.
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.
Jia, Xiaoyu, Anastasia Ivanova, and Shing M. Lee. "Selection of the initial design for the two-stage continual reassessment method." J Biopharm Stat 27, no. 3 (2017): 495-506.
Chen, Xiaolin, Qihua Wang, Jianwen Cai, and Viswanathan Shankar. "Semiparametric additive marginal regression models for multiple type recurrent events." Lifetime Data Anal 18, no. 4 (2012): 504-27.
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.
Yang, S, K Pieper, and F Cools. "Semiparametric estimation of structural failure time models in continuous-time processes." Biometrika 107, no. 1 (2020): 123-136.
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.

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