Publications

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Zhou, Qingning, Jianwen Cai, and Haibo Zhou. "Outcome-dependent sampling with interval-censored failure time data." Biometrics 74, no. 1 (2018): 58-67.
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.
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.
Kelleher, Sarah A., Caroline S. Dorfman, Jen C. Plumb Vilardaga, Catherine Majestic, Joseph Winger, Vicky Gandhi, Christine Nunez, Alyssa Van Denburg, Rebecca A. Shelby, Shelby D. Reed et al. "Optimizing delivery of a behavioral pain intervention in cancer patients using a sequential multiple assignment randomized trial SMART." Contemp Clin Trials 57 (2017): 51-57.
Kwak, Minjung, and Sin-Ho Jung. "Optimal two-stage log-rank test for randomized phase II clinical trials." J Biopharm Stat 27, no. 4 (2017): 639-658.
Hager, Rebecca, Anastasios A. Tsiatis, and Marie Davidian. "Optimal two-stage dynamic treatment regimes from a classification perspective with censored survival data." Biometrics 74, no. 4 (2018): 1180-1192.
Rosenblum, M. Optimal, Two Stage, Adaptive Enrichment Designs for Randomized Trials, using Sparse Linear Programming., 2014.
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.
Bai, Xiaofei, Anastasios A. Tsiatis, Wenbin Lu, and Rui Song. "Optimal treatment regimes for survival endpoints using a locally-efficient doubly-robust estimator from a classification perspective." Lifetime Data Anal 23, no. 4 (2017): 585-604.
Laber, Eric B., Nick J. Meyer, Brian J. Reich, Krishna Pacifici, Jaime A. Collazo, and John M. Drake. "Optimal treatment allocations in space and time for on-line control of an emerging infectious disease." J R Stat Soc Ser C Appl Stat 67, no. 4 (2018): 743-770.
Cao, Hongyuan, Wenguang Sun, and Michael R. Kosorok. "The optimal power puzzle: scrutiny of the monotone likelihood ratio assumption in multiple testing." Biometrika 100, no. 2 (2013): 495-502.
Kwak, Minjung, Jinseog Kim, and Sin-Ho Jung. "Optimal estimation for regression models on τ-year survival probability." J Biopharm Stat 25, no. 3 (2015): 539-47.
Davidian, Marie, Anastasios A. Tsiatis, and Eric B. Laber. Optimal dynamic treatment regimes In Wiley Statsref. Optimal dynamic treatment regimes., 2016.
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.
Schifano, Elizabeth D., Jing Wu, Chun Wang, Jun Yan, and Ming-Hui Chen. "Online Updating of Statistical Inference in the Big Data Setting." Technometrics 58, no. 3 (2016): 393-403.
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.
Ivanova, Anastasia. Oncology Phase II trials with ordinal outcome., 2012.
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.
Van den Berge, Koen, Fanny Perraudeau, Charlotte Soneson, Michael I. Love, Davide Risso, Jean-Philippe Vert, Mark D. Robinson, Sandrine Dudoit, and Lieven Clement. "Observation weights unlock bulk RNA-seq tools for zero inflation and single-cell applications." Genome Biol 19, no. 1 (2018): 24.
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Li, Wentao, Wenjie Liu, Ayano Kakoki, Rujin Wang, Ogun Adebali, Yuchao Jiang, and Aziz Sancar. "Nucleotide excision repair capacity increases during differentiation of human embryonic carcinoma cells into neurons and muscle cells." J Biol Chem 294, no. 15 (2019): 5914-5922.
Potthoff, Richard F., and Susan Halabi. "A novel test to compare two treatments based on endpoints involving both nonfatal and fatal events." Pharm Stat 14, no. 4 (2015): 273-83.
Psioda, Matthew, and Joseph G. Ibrahim. normDesignPP: Bayesian sample size for non-inferiority randomized trials with normal data with power prior (SAS).., 2016.
Psioda, Matthew, and Joseph G. Ibrahim. normDesign: Bayesian sample size for non-inferiority randomized trials with normal data (SAS).., 2016.
Psioda, Matthew, and Joseph G. Ibrahim. NormalMean_BSS: Calculates the Bayesian sample size based on ACC, ALC, and WOC for normal model (SAS).., 2016.
Reich, Brian J., Dipankar Bandyopadhyay, and Howard D. Bondell. "A nonparametric spatial model for periodontal data with non-random missingness." J Am Stat Assoc 108, no. 503 (2013).
Lin, Feng-Chang, Jianwen Cai, Jason P. Fine, and Huichuan J. Lai. "Nonparametric estimation of the mean function for recurrent event data with missing event category." Biometrika 100, no. 3 (2013).
Bondell, Howard D., Brian J. Reich, and Huixia Wang. "Noncrossing quantile regression curve estimation." Biometrika 97, no. 4 (2010): 825-838.
Chen, G, Michael R. Kosorok, and X Zhou. Nonconvex Optimization. In Wiley StatsRef: Statistics Reference Online., 2018.
Appell, Malin L., Jonathan Berg, John Duley, William E. Evans, Martin A. Kennedy, Lynne Lennard, Tony Marinaki, Howard L. McLeod, Mary V. Relling, Elke Schaeffeler et al. "Nomenclature for alleles of the thiopurine methyltransferase gene." Pharmacogenet Genomics 23, no. 4 (2013): 242-8.
Ivanova, Anastasia, Barry Paul, Olga Marchenko, Guochen Song, Neerali Patel, and Stergios J. Moschos. "Nine-year change in statistical design, profile, and success rates of Phase II oncology trials." J Biopharm Stat 26, no. 1 (2016): 141-9.
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, Yu-Bo, Ming-Hui Chen, Lynn Kuo, and Paul O. Lewis. "A New Monte Carlo Method for Estimating Marginal Likelihoods." Bayesian Anal 13, no. 2 (2018): 311-333.
Tzeng, Jung-Ying, Patrik K. E. Magnusson, Patrick F. Sullivan, and Jin P. Szatkiewicz. "A New Method for Detecting Associations with Rare Copy-Number Variants." PLoS Genet 11, no. 10 (2015): e1005403.
Wu, Jing, Ming-Hui Chen, Elizabeth D. Schifano, Joseph G. Ibrahim, and Jeffrey D. Fisher. "A new Bayesian joint model for longitudinal count data with many zeros, intermittent missingness, and dropout with applications to HIV prevention trials." Stat Med 38, no. 30 (2019): 5565-5586.
Gwon, Yeongjin, May Mo, Ming-Hui Chen, Zhiyi Chi, Juan Li, Amy H. Xia, and Joseph G. Ibrahim. "Network meta-regression for ordinal outcomes: Applications in comparing Crohn's disease treatments." Stat Med (2020).
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.
Wang, Shi-Yi, Haitao Chu, Tatyana Shamliyan, Hawre Jalal, Karen M. Kuntz, Robert L. Kane, and Beth A. Virnig. "Network meta-analysis of margin threshold for women with ductal carcinoma in situ." J Natl Cancer Inst 104, no. 7 (2012): 507-16.
Ibrahim, Joseph G.. Network Meta-analysis for Ordinal Outcomes: Applications in Comparing Crohn's Disease Treatments., 2016.
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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, Hongtu, Runze Li, and Linglong Kong. "MULTIVARIATE VARYING COEFFICIENT MODEL FOR FUNCTIONAL RESPONSES." Ann Stat 40, no. 5 (2012): 2634-2666.
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.
Maity, Arnab, Patrick F. Sullivan, and Jun-Ying Tzeng. "Multivariate phenotype association analysis by marker-set kernel machine regression." Genet Epidemiol 36, no. 7 (2012): 686-95.
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.
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.
Foster, Nathan R., Lindsay A. Renfro, Steven E. Schild, Mary W. Redman, Xiaofei F. Wang, Suzanne E. Dahlberg, Keyue Ding, Penelope A. Bradbury, Suresh S. Ramalingam, David R. Gandara et al. "Multitrial Evaluation of Progression-Free Survival as a Surrogate End Point for Overall Survival in First-Line Extensive-Stage Small-Cell Lung Cancer." J Thorac Oncol 10, no. 7 (2015): 1099-106.
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.
Xia, Fang, Stephen L. George, and Xiaofei Wang. "A Multi-state Model for Designing Clinical Trials for Testing Overall Survival Allowing for Crossover after Progression." Stat Biopharm Res 8, no. 1 (2016): 12-21.
Isogai, Yoh, Zheng Wu, Michael I. Love, Michael Ho- Young Ahn, Dhananjay Bambah-Mukku, Vivian Hua, Karolina Farrell, and Catherine Dulac. "Multisensory Logic of Infant-Directed Aggression by Males." Cell 175, no. 7 (2018): 1827-1841.e17.
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.
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, 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.
Maitra, Poulami, Leila D. A. F. Amorim, and Jianwen Cai. "Multiplicative rates model for recurrent events in case-cohort studies." Lifetime Data Anal 26, no. 1 (2020): 134-157.
Michiels, Stefan, Richard F. Potthoff, and Stephen L. George. "Multiple testing of treatment-effect-modifying biomarkers in a randomized clinical trial with a survival endpoint." Stat Med 30, no. 13 (2011): 1502-18.
Xie, Jichun. Multiple Testing of General Dependence by Quantile-Based Contingency Tables with an Application in Identifying Gene Co-expression Network Change Associated with Cancer Survival., 2016.
Sohn, Insuk, Kouros Owzar, Johan Lim, Stephen L. George, Stephanie Mackey Cushman, and Sin-Ho Jung. "Multiple testing for gene sets from microarray experiments." BMC Bioinformatics 12 (2011): 209.
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.
Shortreed, Susan M., Eric Laber, Scott T Stroup, Joelle Pineau, and Susan A. Murphy. "A multiple imputation strategy for sequential multiple assignment randomized trials." Stat Med 33, no. 24 (2014): 4202-14.
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.
Lizotte, Daniel J., and Eric B. Laber. "Multi-Objective Markov Decision Processes for Data-Driven Decision Support." J Mach Learn Res 17 (2016).
Li, Jialiang, Binyan Jiang, and Jason P. Fine. "Multicategory reclassification statistics for assessing improvements in diagnostic accuracy." Biostatistics 14, no. 2 (2013): 382-94.
Zhang, Chong, and Yufeng Liu. "Multicategory angle-based large-margin classification." Biometrika 101, no. 3 (2014): 625-640.
Psioda, Matthew, and Joseph G. Ibrahim. MultiARMSBinary: Simulates Bayes adaptive randomization of multiple arms in a beta-binomial simulation (SAS).., 2016.
He, Qianchuan, and Dan-Yu Lin. MOST: Multivariate outcome score test (C).. 1.0 ed., 2013.
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.
Kim, S, J Cai, and W Lu. "More efficient estimators for case-cohort studies." Biometrika 100, no. 3 (2013): 695-708.
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.
Thomas, Laine, Leonard Stefanski, and Marie Davidian. "A moment-adjusted imputation method for measurement error models." Biometrics 67, no. 4 (2011): 1461-70.
Thomas, Laine, Leonard A. Stefanski, and Marie Davidian. "Moment Adjusted Imputation for Multivariate Measurement Error Data with Applications to Logistic Regression." Comput Stat Data Anal 67 (2013): 15-24.
Wang, Zhi, Arnab Maity, Chuhsing Kate Hsiao, Deepak Voora, Rima Kaddurah-Daouk, and Jung-Ying Tzeng. "Module-based association analysis for omics data with network structure." PLoS One 10, no. 3 (2015): e0122309.
Holloway, Shannon T.. modelObj: A model object framework for regression analysis (R).. 1.0 ed., 2015.
Amorim, Leila D. A. F., and Jianwen Cai. "Modelling recurrent events: a tutorial for analysis in epidemiology." Int J Epidemiol 44, no. 1 (2015): 324-33.
Su, Lin, Wenbin Lu, and Rui Song. "Modelling and estimation for optimal treatment decision with interference." Stat (Int Stat Inst) 8, no. 1 (2019).
Yang, Shu, Anastasios A. Tsiatis, and Michael Blazing. "Modeling survival distribution as a function of time to treatment discontinuation: A dynamic treatment regime approach." Biometrics 74, no. 3 (2018): 900-909.
Rashid, Naim U., Quefeng Li, Jen Jen Yeh, and Joseph G. Ibrahim. "Modeling Between-Study Heterogeneity for Improved Replicability in Gene Signature Selection and Clinical Prediction." J Am Stat Assoc 115, no. 531 (2020): 1125-1138.
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.
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, 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.
Luo, Sheng, Yong Chen, Xiao Su, and Haitao Chu. mmeta: Multivariate meta-analysis (R).. 2.2 ed., 2014.
Luo, Sheng, Yong Chen, Xiao Su, and Haitao Chu. "mmeta: An R Package for Multivariate Meta-Analysis." J Stat Softw 56, no. 11 (2014): 11.
Vock, David M., Marie Davidian, Anastasios A. Tsiatis, and Andrew J. Muir. "Mixed model analysis of censored longitudinal data with flexible random-effects density." Biostatistics 13, no. 1 (2012): 61-73.
Tsiatis, Anastasios A., and Marie Davidian. Missing data methods: A semiparametric perspective. In Handbook of Missing Data Methodology. Boca Raton: Chapman and Hall/CRC, 2014.
Ibrahim, Joseph G., Haitao Chu, and Ming-Hui Chen. "Missing data in clinical studies: issues and methods." J Clin Oncol 30, no. 26 (2012): 3297-303.
Murphy, Susan A.. Micro-Randomized Trials & mHealth., 2014.
Tang, Zheng-Zheng, and Dan-Yu Lin. "Meta-analysis of sequencing studies with heterogeneous genetic associations." Genet Epidemiol 38, no. 5 (2014): 389-401.
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.
Hu, Yi-Juan, Sonja I. Berndt, Stefan Gustafsson, Andrea Ganna, Joel Hirschhorn, Kari E. North, Erik Ingelsson, and Dan-Yu Lin. "Meta-analysis of gene-level associations for rare variants based on single-variant statistics." Am J Hum Genet 93, no. 2 (2013): 236-48.
Chen, Ming-Hui, Joseph G. Ibrahim, Arvind K. Shah, Jianxin Lin, and Hui Yao. "Meta-analysis methods and models with applications in evaluation of cholesterol-lowering drugs." Stat Med 31, no. 28 (2012): 3597-616.
Tang, Zheng-Zheng, and Dan-Yu Lin. "Meta-analysis for Discovering Rare-Variant Associations: Statistical Methods and Software Programs." Am J Hum Genet 97, no. 1 (2015): 35-53.
Cao, Hongyuan, Lisa M. LaVange, Joseph F. Heyse, Christopher T Mast, and Michael R. Kosorok. "Medical records-based postmarketing safety evaluation of rare events with uncertain status." J Biopharm Stat 23, no. 4 (2013): 744-55.
Cao, Hongyuan, Lisa M. LaVange, Joseph F. Heyse, Christopher T Mast, and Michael R. Kosorok. "Medical records-based postmarketing safety evaluation of rare events with uncertain status." J Biopharm Stat 23, no. 1 (2013): 201-12.
Zhao, Luping. Measures of Clinical Benefit in Immuno-Oncology Studies., 2016.
Zhou, Yi-Hui. mcc: Moment corrected correlation an approximation to exact association testing of two vectors (R).. 1.0 ed., 2014.
May, Ryan C., Joseph G. Ibrahim, and Haitao Chu. "Maximum likelihood estimation in generalized linear models with multiple covariates subject to detection limits." Stat Med 30, no. 20 (2011): 2551-61.
Abanto-Valle, Carlos A., Roland Langrock, Ming-Hui Chen, and Michel V. Cardoso. "Maximum likelihood estimation for stochastic volatility in mean models with heavy-tailed distributions." Appl Stoch Models Bus Ind 33, no. 4 (2017): 394-408.
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, 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.
Shi, Chengchun, Rui Song, Wenbin Lu, and Bo Fu. "Maximin Projection Learning for Optimal Treatment Decision with Heterogeneous Individualized Treatment Effects." J R Stat Soc Series B Stat Methodol 80, no. 4 (2018): 681-702.
Shi, Chengchun, Wenbin Lu, and Rui Song. "A Massive Data Framework for M-Estimators with Cubic-Rate." J Am Stat Assoc 113, no. 524 (2018): 1698-1709.
Tang, Zheng-Zheng, and Dan-Yu Lin. MASS: Meta-analysis of sequencing studies (C).. 5.0 ed., 2013.
Tang, Zheng-Zheng, and Dan-Yu Lin. "MASS: meta-analysis of score statistics for sequencing studies." Bioinformatics 29, no. 14 (2013): 1803-5.

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