Publications

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Journal Article
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.
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, 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, 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.
Liu, Ying, Yuanjia Wang, Chaorui Huang, and Donglin Zeng. "Estimating personalized diagnostic rules depending on individualized characteristics." Stat Med 36, no. 7 (2017): 1099-1117.
Chen, Qingxia, Donglin Zeng, Joseph G. Ibrahim, Mouna Akacha, and Heinz Schmidli. "Estimating time-varying effects for overdispersed recurrent events data with treatment switching." Biometrika 100, no. 2 (2013): 339-354.
Gao, Fei, Donglin Zeng, Helen Wei, Xuena Wang, and Joseph G. Ibrahim. "Estimating Treatment Effects for Recurrent Events in the Presence of Rescue Medications: An Application to the Immune Thrombocytopenia Study." Stat Biosci 10, no. 2 (2018): 473-489.
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.
Tan, Ziwen, Guoyou Qin, and Haibo Zhou. "Estimation of a partially linear additive model for data from an outcome-dependent sampling design with a continuous outcome." Biostatistics 17, no. 4 (2016): 663-76.
Wang, Xiaofei, Junling Ma, Stephen George, and Haibo Zhou. "Estimation of AUC or Partial AUC under Test-Result-Dependent Sampling." Stat Biopharm Res 4, no. 4 (2012): 313-323.
Zhao, Ying-Qi, and Eric B. Laber. "Estimation of optimal dynamic treatment regimes." Clin Trials 11, no. 4 (2014): 400-407.
Kang, Suhyun, Wenbin Lu, and Jiajia Zhang. "ON ESTIMATION OF THE OPTIMAL TREATMENT REGIME WITH THE ADDITIVE HAZARDS MODEL." Stat Sin 28, no. 3 (2018): 1539-1560.
Chen, Qingxia, Fan Zhang, Ming-Hui Chen, and Xiuyu Julie Cong. "Estimation of treatment effects and model diagnostics with two-way time-varying treatment switching: an application to a head and neck study." Lifetime Data Anal 26, no. 4 (2020): 685-707.
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, 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.
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.
Ghosh, Lipika, Jiancheng Jiang, Yanqing Sun, and Haibo Zhou. "Failure time regression with continuous informative auxiliary covariates." J Stat Distrib Appl 2 (2015): 2.
Chow, Sy-Miin, Zhaohua Lu, Andrew Sherwood, and Hongtu Zhu. "Fitting Nonlinear Ordinary Differential Equation Models with Random Effects and Unknown Initial Conditions Using the Stochastic Approximation Expectation-Maximization (SAEM) Algorithm." Psychometrika 81, no. 1 (2016): 102-34.
Ibrahim, Joseph G., Hongtu Zhu, Ramon I. Garcia, and Ruixin Guo. "Fixed and random effects selection in mixed effects models." Biometrics 67, no. 2 (2011): 495-503.
Kong, Dehan, Joseph G. Ibrahim, Eunjee Lee, and Hongtu Zhu. "FLCRM: Functional linear cox regression model." Biometrics 74, no. 1 (2018): 109-117.
Yuan, Ying, John H. Gilmore, Xiujuan Geng, Styner Martin, Kehui Chen, Jane-ling Wang, and Hongtu Zhu. "FMEM: functional mixed effects modeling for the analysis of longitudinal white matter Tract data." Neuroimage 84 (2014): 753-64.
Luo, S, R Song, M Styner, J H. Gilmore, and H Zhu. "FSEM: Functional Structural Equation Models for Twin Functional Data." J Am Stat Assoc 114, no. 525 (2019): 344-357.
Li, Tengfei, Fengchang Xie, Xiangnan Feng, Joseph G. Ibrahim, and Hongtu Zhu. "Functional Linear Regression Models for Nonignorable Missing Scalar Responses." Stat Sin 28, no. 4 (2018): 1867-1886.
Lin, Ja-an, Hongtu Zhu, Ahn Mihye, Wei Sun, and Joseph G. Ibrahim. "Functional-mixed effects models for candidate genetic mapping in imaging genetic studies." Genet Epidemiol 38, no. 8 (2014): 680-91.
Lin, Dan-Yu, Donglin Zeng, and David Couper. "A general framework for integrative analysis of incomplete multiomics data." Genet Epidemiol 44, no. 7 (2020): 646-664.
Hu, Y J., D Y. Lin, and D Zeng. "A general framework for studying genetic effects and gene-environment interactions with missing data." Biostatistics 11, no. 4 (2010): 583-98.
Wojcik, Genevieve L., Mariaelisa Graff, Katherine K. Nishimura, Ran Tao, Jeffrey Haessler, Christopher R. Gignoux, Heather M. Highland, Yesha M. Patel, Elena P. Sorokin, Christy L. Avery et al. "Genetic analyses of diverse populations improves discovery for complex traits." Nature 570, no. 7762 (2019): 514-518.
Lin, Dan-Yu, Ran Tao, William D. Kalsbeek, Donglin Zeng, Franklyn Gonzalez, Lindsay Fernández-Rhodes, Mariaelisa Graff, Gary G. Koch, Kari E. North, and Gerardo Heiss. "Genetic association analysis under complex survey sampling: the Hispanic Community Health Study/Study of Latinos." Am J Hum Genet 95, no. 6 (2014): 675-88.
R Baldwin, Michael, Kouros Owzar, Hitoshi Zembutsu, Aparna Chhibber, Michiaki Kubo, Chen Jiang, Dorothy Watson, Rachel J. Eclov, Joel Mefford, Howard L. McLeod et al. "A genome-wide association study identifies novel loci for paclitaxel-induced sensory peripheral neuropathy in CALGB 40101." Clin Cancer Res 18, no. 18 (2012): 5099-109.
Wang, Xuefeng, Mengjie Chen, Xiaoqing Yu, Natapol Pornputtapong, Hao Chen, Nancy R. Zhang, Scott R Powers, and Michael Krauthammer. "Global copy number profiling of cancer genomes." Bioinformatics 32, no. 6 (2016): 926-8.
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, 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, 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.
Liu, Yufeng, Hao Helen Zhang, and Yichao Wu. "Hard or Soft Classification? Large-margin Unified Machines." J Am Stat Assoc 106, no. 493 (2011): 166-177.
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.
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.
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.
Wong, Kin Yau, Cheng Fan, Maki Tanioka, Joel S. Parker, Andrew B. Nobel, Donglin Zeng, Dan-Yu Lin, and Charles M. Perou. "I-Boost: an integrative boosting approach for predicting survival time with multiple genomics platforms." Genome Biol 20, no. 1 (2019): 52.
Han, Xuesong, Yang Li, Jian Huang, Yawei Zhang, Theodore Holford, Qing Lan, Nathaniel Rothman, Tongzhang Zheng, Michael R. Kosorok, and Shuangge Ma. "Identification of predictive pathways for non-hodgkin lymphoma prognosis." Cancer Inform 9 (2010): 281-92.
Han, Xuesong, Yang Li, Jian Huang, Yawei Zhang, Theodore Holford, Qing Lan, Nathaniel Rothman, Tongzhang Zheng, Michael R. Kosorok, and Shuangge Ma. "Identification of predictive pathways for non-hodgkin lymphoma prognosis." Cancer Inform 9 (2010): 281-92.
Knickmeyer, Rebecca C., Jiaping Wang, Hongtu Zhu, Xiujuan Geng, Sandra Woolson, Robert M. Hamer, Thomas Konneker, Martin Styner, and John H. Gilmore. "Impact of sex and gonadal steroids on neonatal brain structure." Cereb Cortex 24, no. 10 (2014): 2721-31.
Yan, Ying, Haibo Zhou, and Jianwen Cai. "Improving efficiency of parameter estimation in case-cohort studies with multivariate failure time data." Biometrics 73, no. 3 (2017): 1042-1052.
Calandruccio, Lauren, and Haibo Zhou. "Increase in speech recognition due to linguistic mismatch between target and masker speech: monolingual and simultaneous bilingual performance." J Speech Lang Hear Res 57, no. 3 (2014): 1089-97.
Chakraborty, Bibhas, Eric B. Laber, and Ying-Qi Zhao. "Inference about the expected performance of a data-driven dynamic treatment regime." Clin Trials 11, no. 4 (2014): 408-417.
Chakraborty, Bibhas, Eric B. Laber, and Yingqi Zhao. "Inference for optimal dynamic treatment regimes using an adaptive m-out-of-n bootstrap scheme." Biometrics 69, no. 3 (2013): 714-23.
Maity, Arnab, Jing Zhao, Patrick F. Sullivan, and Jung-Ying Tzeng. "Inference on phenotype-specific effects of genes using multivariate kernel machine regression." Genet Epidemiol 42, no. 1 (2018): 64-79.
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.
Urrutia, Eugene, Hao Chen, Zilu Zhou, Nancy R. Zhang, and Yuchao Jiang. "Integrative pipeline for profiling DNA copy number and inferring tumor phylogeny." Bioinformatics 34, no. 12 (2018): 2126-2128.
Urrutia, Eugene, Hao Chen, Zilu Zhou, Nancy R. Zhang, and Yuchao Jiang. "Integrative pipeline for profiling DNA copy number and inferring tumor phylogeny." Bioinformatics 34, no. 12 (2018): 2126-2128.
Hao, Ning, and Hao Helen Zhang. "Interaction Screening for Ultra-High Dimensional Data." J Am Stat Assoc 109, no. 507 (2014): 1285-1301.
Kang, Chaeryon, Hao Zhu, Fred A. Wright, Fei Zou, and Michael R. Kosorok. "THE INTERACTIVE DECISION COMMITTEE FOR CHEMICAL TOXICITY ANALYSIS." J Stat Res 46, no. 2 (2012): 157-186.
Kang, Chaeryon, Hao Zhu, Fred A. Wright, Fei Zou, and Michael R. Kosorok. "THE INTERACTIVE DECISION COMMITTEE FOR CHEMICAL TOXICITY ANALYSIS." J Stat Res 46, no. 2 (2012): 157-186.
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.
Shi, Xiaoyan, Hongtu Zhu, Joseph G. Ibrahim, Faming Liang, Jeffrey Lieberman, and Martin Styner. "Intrinsic Regression Models for Medial Representation of Subcortical Structures." J Am Stat Assoc 107, no. 497 (2012): 12-23.
Nadkarni, Nivedita V., Yingqi Zhao, and Michael R. Kosorok. "Inverse regression estimation for censored data." J Am Stat Assoc 106, no. 493 (2011): 178-190.
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).
Choi, Jaeun, Jianwen Cai, Donglin Zeng, and Andrew F. Olshan. "Joint Analysis of Survival Time and Longitudinal Categorical Outcomes." Stat Biosci 7, no. 1 (2015): 19-47.
Kim, Sehee, Donglin Zeng, Yi Li, and Donna Spiegelman. "Joint Modeling of Longitudinal and Cure-survival Data." J Stat Theory Pract 7, no. 2 (2013): 324-344.
Choi, Jaeun, Donglin Zeng, Andrew F. Olshan, and Jianwen Cai. "Joint modeling of survival time and longitudinal outcomes with flexible random effects." Lifetime Data Anal 24, no. 1 (2018): 126-152.
Kim, Sehee, Donglin Zeng, Lloyd Chambless, and Yi Li. "Joint Models of Longitudinal Data and Recurrent Events with Informative Terminal Event." Stat Biosci 4, no. 2 (2012): 262-281.
Xiao, Wei, Wenbin Lu, and Hao Helen Zhang. "JOINT STRUCTURE SELECTION AND ESTIMATION IN THE TIME-VARYING COEFFICIENT COX MODEL." Stat Sin 26, no. 2 (2016): 547-567.
Wang, Yuanjia, Peng Wu, Ying Liu, Chunhua Weng, and Donglin Zeng. "Learning Optimal Individualized Treatment Rules from Electronic Health Record Data." IEEE Int Conf Healthc Inform 2016 (2016): 65-71.
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.
Yuan, Ying, Hongtu Zhu, Weili Lin, and J S. Marron. "Local Polynomial Regression for Symmetric Positive Definite Matrices." J R Stat Soc Series B Stat Methodol 74, no. 4 (2012): 697-719.
McClure, Robert K., Martin Styner, Eric Maltbie, Jeffrey A. Lieberman, Sylvain Gouttard, Guido Gerig, Xiaoyan Shi, and Hongtu Zhu. "Localized differences in caudate and hippocampal shape are associated with schizophrenia but not antipsychotic type." Psychiatry Res 211, no. 1 (2013): 1-10.
Huang, Jianguo, Mohit Sachdeva, Eric Xu, Timothy J. Robinson, Lixia Luo, Yan Ma, Nerissa T. Williams, Omar Lopez, Lisa D. Cervia, Fan Yuan et al. "The Long Noncoding RNA Promotes Sarcoma Metastasis by Regulating RNA Splicing Pathways." Mol Cancer Res 18, no. 10 (2020): 1534-1544.
Yuan, Ying, John H. Gilmore, Xiujuan Geng, Martin A. Styner, Kehui Chen, Jane-ling Wang, and Hongtu Zhu. "A longitudinal functional analysis framework for analysis of white matter tract statistics." Inf Process Med Imaging 23 (2013): 220-31.
Chen, Yasheng, Hongyu An, Hongtu Zhu, Valerie Jewells, Diane Armao, Dinggang Shen, John H. Gilmore, and Weili Lin. "Longitudinal regression analysis of spatial-temporal growth patterns of geometrical diffusion measures in early postnatal brain development with diffusion tensor imaging." Neuroimage 58, no. 4 (2011): 993-1005.
Liu, Yang, Xiwen Ma, Donghui Zhang, Lijiang Geng, Xiaojing Wang, Wei Zheng, and Ming-Hui Chen. "Look before you leap: systematic evaluation of tree-based statistical methods in subgroup identification." J Biopharm Stat 29, no. 6 (2019): 1082-1102.
Liu, Yang, Xiwen Ma, Donghui Zhang, Lijiang Geng, Xiaojing Wang, Wei Zheng, and Ming-Hui Chen. "Look before you leap: systematic evaluation of tree-based statistical methods in subgroup identification." J Biopharm Stat 29, no. 6 (2019): 1082-1102.
Liu, Yanyan, Zhongshang Yuan, Jianwen Cai, and Haibo Zhou. "Marginal hazard regression for correlated failure time data with auxiliary covariates." Lifetime Data Anal 18, no. 1 (2012): 116-38.
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, Lu Mao, and D Y. Lin. "Maximum likelihood estimation for semiparametric transformation models with interval-censored data." Biometrika 103, no. 2 (2016): 253-271.
Lin, D Y., and D Zeng. "Meta-analysis of genome-wide association studies: no efficiency gain in using individual participant data." Genet Epidemiol 34, no. 1 (2010): 60-6.
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, 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, 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.
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.
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.
Geng, Yuan, Wenbin Lu, and Hao Helen Zhang. "A Model-Free Machine Learning Method for Risk Classification and Survival Probability Prediction." Stat 3, no. 1 (2014): 337-350.
Ahn, Mihye, Hao Helen Zhang, and Wenbin Lu. "MOMENT-BASED METHOD FOR RANDOM EFFECTS SELECTION IN LINEAR MIXED MODELS." Stat Sin 22, no. 4 (2012): 1539-1562.
Chen, Yasheng, Hongtu Zhu, Hongyu An, Diane Armao, Dinggang Shen, John H. Gilmore, and Weili Lin. "More insights into early brain development through statistical analyses of eigen-structural elements of diffusion tensor imaging using multivariate adaptive regression splines." Brain Struct Funct 219, no. 2 (2014): 551-69.
Zhang, Chong, and Yufeng Liu. "Multicategory angle-based large-margin classification." Biometrika 101, no. 3 (2014): 625-640.
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, 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.
Chen, Tianle, Donglin Zeng, and Yuanjia Wang. "Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration." Biometrics 71, no. 4 (2015): 918-28.
Li, Yimei, John H. Gilmore, Dinggang Shen, Martin Styner, Weili Lin, and Hongtu Zhu. "Multiscale adaptive generalized estimating equations for longitudinal neuroimaging data." Neuroimage 72 (2013): 91-105.
Skup, Martha, Hongtu Zhu, and Heping Zhang. "Multiscale adaptive marginal analysis of longitudinal neuroimaging data with time-varying covariates." Biometrics 68, no. 4 (2012): 1083-92.
Skup, Martha, Hongtu Zhu, and Heping Zhang. "Multiscale adaptive marginal analysis of longitudinal neuroimaging data with time-varying covariates." Biometrics 68, no. 4 (2012): 1083-92.
Li, Yimei, Hongtu Zhu, Dinggang Shen, Weili Lin, John H. Gilmore, and Joseph G. Ibrahim. "Multiscale Adaptive Regression Models for Neuroimaging Data." J R Stat Soc Series B Stat Methodol 73, no. 4 (2011): 559-578.
Bompard, Lucile, Shun Xu, Martin Styner, Beatriz Paniagua, Mihye Ahn, Ying Yuan, Valerie Jewells, Wei Gao, Dinggang Shen, Hongtu Zhu et al. "Multivariate longitudinal shape analysis of human lateral ventricles during the first twenty-four months of life." PLoS One 9, no. 9 (2014): e108306.
Gao, Wei, Hongtu Zhu, Kelly Giovanello, and Weili Lin. "Multivariate network-level approach to detect interactions between large-scale functional systems." Med Image Comput Comput Assist Interv 13, no. Pt 2 (2010): 298-305.
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.
Zhu, Hongtu, Runze Li, and Linglong Kong. "MULTIVARIATE VARYING COEFFICIENT MODEL FOR FUNCTIONAL RESPONSES." Ann Stat 40, no. 5 (2012): 2634-2666.
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.
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.
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, 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.
Wang, Chun, Ming-Hui Chen, Jing Wu, Jun Yan, Yuping Zhang, and Elizabeth Schifano. "Online updating method with new variables for big data streams." Can J Stat 46, no. 1 (2018): 123-146.
Wang, Wenjie, Ming-Hui Chen, Sy Han Chiou, Hui-Chuan Lai, Xiaojing Wang, Jun Yan, and Zhumin Zhang. "Onset of persistent pseudomonas aeruginosa infection in children with cystic fibrosis with interval censored data." BMC Med Res Methodol 16, no. 1 (2016): 122.

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