Publications

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Laber, Eric B., Anastasios A. Tsiatis, Marie Davidian, and Shannon T. Holloway. "Discussion of "Combining biomarkers to optimize patient treatment recommendation"." Biometrics 70, no. 3 (2014): 707-10.
Zhao, Ying-Qi, and Michael R. Kosorok. "Discussion of combining biomarkers to optimize patient treatment recommendations." Biometrics 70, no. 3 (2014): 713-6.
Tsiatis, Anastasios A., and Marie Davidian. "Discussion of "Connections Between Survey Calibration Estimators and Semiparametric Models for Incomplete Data" by T. Lumley, P.A. Shaw & J.Y. Dai." Int Stat Rev 79, no. 2 (2011): 221-223.
Lawson, Michael T., Hunyong Cho, Arkopal Choudhury, Yifan Cui, Xiaotong Jiang, Teeranan Pokaprakarn, and Michael R. Kosorok. "Discussion of Laber et al. "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): 779-780.
Lin, D Y.. "Discussion of the Paper by R. L. Prentice and Y. Huang - Optimal Designs and Efficient Inference for Biomarker Studies." Stat Theory Relat Fields 2, no. 1 (2018): 21-22.
Wang, Jiaping, Haipeng Shen, and Hongtu Zhu. "Discussion of the paper "Clustering Random Curves Under Spatial Interdependence with Application to Service Accessibility" by Jiang and Serban." Technometrics 54, no. 2 (2012): 129-133.
Huang, Chao, Liang Shan, Cecil H Charles, Wolfgang Wirth, Marc Niethammer, and Hongtu Zhu. "Diseased Region Detection of Longitudinal Knee Magnetic Resonance Imaging Data." IEEE Trans Med Imaging 34, no. 9 (2015): 1914-27.
Huang, Chao, Liang Shan, Cecil Charles, Marc Niethammer, and Hongtu Zhu. "Diseased region detection of longitudinal knee MRI data." Inf Process Med Imaging 23 (2013): 632-43.
Kong, Dehan, Howard Bondell, and Yichao Wu. "Domain selection for the varying coefficient model via local polynomial regression." Comput Stat Data Anal 83 (2015): 236-250.
Chiuzan, Cody, Jonathan Shtaynberger, Gulam A. Manji, Jimmy K. Duong, Gary K. Schwartz, Anastasia Ivanova, and Shing M. Lee. "Dose-finding designs for trials of molecularly targeted agents and immunotherapies." J Biopharm Stat 27, no. 3 (2017): 477-494.
Chen, Jingxiang, Chong Zhang, Michael R. Kosorok, and Yufeng Liu. "Double Sparsity Kernel Learning with Automatic Variable Selection and Data Extraction." Stat Interface 11, no. 3 (2018): 401-420.
Jiang, Runchao, Wenbin Lu, Rui Song, Michael G. Hudgens, and Sonia Naprvavnik. "DOUBLY ROBUST ESTIMATION OF OPTIMAL TREATMENT REGIMES FOR SURVIVAL DATA-WITH APPLICATION TO AN HIV/AIDS STUDY." Ann Appl Stat 11, no. 3 (2017): 1763-1786.
Yang, Shu, Jae Kwang Kim, and Rui Song. "Doubly robust inference when combining probability and non-probability samples with high dimensional data." J R Stat Soc Series B Stat Methodol 82, no. 2 (2020): 445-465.
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.
Tsiatis, Anastasios A., Marie Davidian, Weihua Cao, and Shannon T. Holloway. doublyRobust: Doubly robust estimation for monotonely coarsened data in longitudinal studies with dropout and/or incomplete data (R).. 2nd ed., 2013.
Bai, Xiaofei, Anastasios A. Tsiatis, and Sean M. O'Brien. "Doubly-robust estimators of treatment-specific survival distributions in observational studies with stratified sampling." Biometrics 69, no. 4 (2013): 830-9.
Line, Danyu, Donglin Zeng, and Shannon T. Holloway. DOVE: Durability of Vaccine Efficacy. v1.2 ed., 2021.
Madigan, D. Drug safety in spontaneous reports, observational databases, and clinical trials: Can we do better?., 2011.
Oguz, Ipek, Mahshid Farzinfar, Joy Matsui, Francois Budin, Zhexing Liu, Guido Gerig, Hans J. Johnson, and Martin Styner. "DTIPrep: quality control of diffusion-weighted images." Front Neuroinform 8 (2014): 4.
Liu, Ying, Yuanjia Wang, and Donglin Zeng. DTRlearn: Learning Algorithms for Dynamic Treatment Regimes (R). 1.3 ed., 2018.
Holloway, Shannon, and Hunyong Cho. dtrSurv: Dynamic Treatment Regimes for Survival Analysis (R). 1.1 ed., 2020.
Hess, Connie N., Phillip J. Schulte, Kristin L Newby, Philippe Gabriel Steg, Anthony J. Dalby, Marc J. Schweiger, Basil S. Lewis, Paul W. Armstrong, Robert M. Califf, Frans van de Werf et al. "Duration of eptifibatide infusion after percutaneous coronary intervention and outcomes among high-risk patients with non-ST-segment elevation acute coronary syndrome: insights from EARLY ACS." Eur Heart J Acute Cardiovasc Care 2, no. 3 (2013): 246-55.
Wang, Xiaofei, Ming-Hui Chen, R C. Kuo, and Dipak K. Dey. "Dynamic spatial pattern recognition in count data." In New Developments in Statistical Modeling, Inference and Application, 185-202. New York: Springer, 2016.
Davidian, Marie, Anastasios A. Tsiatis, and Eric B. Laber. "Dynamic treatment regimes." In Cancer Clinical Trials: Current and Controversial Issues in Design and Analysis. Boca Raton: Chapman & Hall / CRC Press, 2016.
Laber, Eric B., and Marie Davidian. "Dynamic treatment regimes, past, present, and future: A conversation with experts." Stat Methods Med Res 26, no. 4 (2017): 1605-1610.
Tsiatis, Anastasios A., Marie Davidian, Shannon T. Holloway, and Eric B. Laber. Dynamic Treatment Regimes: Statistical Methods for Precision Medicine In Chapman & Hall/CRC Monographs on Statistics and Applied Probability. Boca Raton: Chapman and Hall/CRC, 2019.
Laber, Eric B., Daniel J. Lizotte, Min Qian, William E. Pelham, and Susan A. Murphy. "Dynamic treatment regimes: technical challenges and applications." Electron J Stat 8, no. 1 (2014): 1225-1272.
Holloway, Shannon T., Eric B. Laber, Kristin A. Linn, Baqun Zhang, Marie Davidian, and Anastasios A. Tsiatis. DynTxRegime: A comprehensive package for analysis of dynamic treatment regimes (R).. v3.1 ed., 2017.
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Stinchcombe, Thomas E., Pasi A. Jänne, Xiaofei Wang, Erin M. Bertino, Jared Weiss, Lyudmila Bazhenova, Lin Gu, Christie Lau, Cloud Paweletz, Anthony Jaslowski et al. "Effect of Erlotinib Plus Bevacizumab vs Erlotinib Alone on Progression-Free Survival in Patients With Advanced EGFR-Mutant Non-Small Cell Lung Cancer: A Phase 2 Randomized Clinical Trial." JAMA Oncol 5, no. 10 (2019): 1448-1455.
Yao, F, E Lei, and Y Wu. "Effective dimension reduction for sparse functional data." Biometrika 102, no. 2 (2015): 421-437.
X Jeng, Jessie, Jacob Rhyne, Teng Zhang, and Jung-Ying Tzeng. "Effective SNP ranking improves the performance of eQTL mapping." Genet Epidemiol 44, no. 6 (2020): 611-619.
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).
Kang, Suhyun, Wenbin Lu, and Mengling Liu. "Efficient estimation for accelerated failure time model under case-cohort and nested case-control sampling." Biometrics 73, no. 1 (2017): 114-123.
Wong, Kin Yau, Donglin Zeng, and D Y. Lin. "Efficient Estimation for Semiparametric Structural Equation Models With Censored Data." J Am Stat Assoc 113, no. 522 (2018): 893-905.
Li, Zhiguo, Jiaxing Lin, Alexander B. Sibley, Tracy Truong, Katherina C. Chua, Yu Jiang, Janice McCarthy, Deanna L. Kroetz, Andrew Allen, and Kouros Owzar. "Efficient estimation of grouped survival models." BMC Bioinformatics 20, no. 1 (2019): 269.
Wang, Yuanjia, Baosheng Liang, Xingwei Tong, Karen Marder, Susan Bressman, Avi Orr-Urtreger, Nir Giladi, and Donglin Zeng. "Efficient Estimation of Nonparametric Genetic Risk Function with Censored Data." Biometrika 102, no. 3 (2015): 515-532.
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.
Mao, Lu, and D Y. Lin. "Efficient Estimation of Semiparametric Transformation Models for the Cumulative Incidence of Competing Risks." J R Stat Soc Series B Stat Methodol 79, no. 2 (2017): 573-587.
Daniel, Rhian M., and Anastasios A. Tsiatis. "Efficient estimation of the distribution of time to composite endpoint when some endpoints are only partially observed." Lifetime Data Anal 19, no. 4 (2013): 513-46.
Diao, Guoqing, Guanghan F. Liu, Donglin Zeng, William Wang, Xianming Tan, Joseph F. Heyse, and Joseph G. Ibrahim. "Efficient methods for signal detection from correlated adverse events in clinical trials." Biometrics 75, no. 3 (2019): 1000-1008.
Bondell, Howard D., and Leonard A. Stefanski. "Efficient Robust Regression via Two-Stage Generalized Empirical Likelihood." J Am Stat Assoc 108, no. 502 (2013): 644-655.
Diao, Guoqing, Donglin Zeng, and Song Yang. "Efficient semiparametric estimation of short-term and long-term hazard ratios with right-censored data." Biometrics 69, no. 4 (2013): 840-9.
Tao, Ran, Donglin Zeng, and Dan-Yu Lin. "Efficient Semiparametric Inference Under Two-Phase Sampling, With Applications to Genetic Association Studies." J Am Stat Assoc 112, no. 520 (2017): 1468-1476.
X Jeng, Jessie, Teng Zhang, and Jung-Ying Tzeng. "Efficient Signal Inclusion With Genomic Applications." J Am Stat Assoc 114, no. 528 (2019): 1787-1799.
Gong, Siliang, Kai Zhang, and Yufeng Liu. "Efficient test-based variable selection for high-dimensional linear models." J Multivar Anal 166 (2018): 17-31.
Boland, Mary Regina. Electronic Health Records and Precision Medicine: Enabling Large-Scale Discoveries Using Phenome-Wide Approaches., 2016.
S Farber, Harrison, Vadim Tsvankin, Jessica L. Narloch, Grace J. Kim, April K. S. Salama, Gordana Vlahovic, Kimberly L. Blackwell, John P. Kirkpatrick, and Peter E. Fecci. "Embracing rejection: Immunologic trends in brain metastasis." Oncoimmunology 5, no. 7 (2016): e1172153.
Chen, Yong, Sheng Luo, Haitao Chu, Xiao Su, and Lei Nie. "An Empirical Bayes Method for Multivariate Meta-analysis with an Application in Clinical Trials." Commun Stat Theory Methods 43, no. 16 (2014): 3536-3551.
Tang, Niansheng, Puying Zhao, and Hongtu Zhu. "Empirical Likelihood for Estimating Equations with Nonignorably Missing Data." Stat Sin 24, no. 2 (2014): 723-747.
Zhou, Yi-Hui, William T. Barry, and Fred A. Wright. "Empirical pathway analysis, without permutation." Biostatistics 14, no. 3 (2013): 573-85.
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.
George, Stephen L., Xiaofei Wang, and Herbert Pang. "Endpoints for cancer clinical trials." In Cancer Clinical Trials: Current and Controversial Issues in Design and Analysis. Boca Raton: Chapman & Hall / CRC Press, 2016.
Wang, Xiaofei, Jianwen Cai, and Stephen L. George. Enriched biomarker-driven clinical trials. In Wiley StatsRef: Statistics Reference Online. Wiley, 2019.
Wang, Xiaofei, Jingzhu Zhou, Ting Wang, and Stephen L. George. "On Enrichment Strategies for Biomarker Stratified Clinical Trials." J Biopharm Stat 28, no. 2 (2018): 292-308.
Song, Guochen, and Anastasia Ivanova. "Enrollment and Stopping Rules for Managing Toxicity Requiring Long Follow-Up in Phase II Oncology Trials." J Biopharm Stat 25, no. 6 (2015): 1206-14.
Pang, Herbert H., Xiaofei Wang, Thomas E. Stinchcombe, Melisa L. Wong, Perry Cheng, Apar Kishor Ganti, Daniel J. Sargent, Ying Zhang, Chen Hu, Sumithra J. Mandrekar et al. "Enrollment Trends and Disparity Among Patients With Lung Cancer in National Clinical Trials, 1990 to 2012." J Clin Oncol 34, no. 33 (2016): 3992-3999.
Jiang, Binyan, Rui Song, Jialiang Li, and Donglin Zeng. "Entropy Learning for Dynamic Treatment Regimes." Stat Sin 29, no. 4 (2019): 1633-1655.
Xia, Kai, Yang Yu, Mihye Ahn, Hongtu Zhu, Fei Zou, John H. Gilmore, and Rebecca C. Knickmeyer. "Environmental and genetic contributors to salivary testosterone levels in infants." Front Endocrinol (Lausanne) 5 (2014): 187.
Zhang, Aijing, Jung-Ying Tzeng, and Shein-Chung Chow. "Establishment of reference standards in biosimilar studies." GaBI J 2, no. 4 (2013): 173-177.
Lewis, Paul O., Ming-Hui Chen, Lynn Kuo, Louise A. Lewis, Karolina Fučíková, Suman Neupane, Yu-Bo Wang, and Daoyuan Shi. "Estimating Bayesian Phylogenetic Information Content." Syst Biol 65, no. 6 (2016): 1009-1023.
Luckett, Daniel J., Eric B. Laber, Anna R. Kahkoska, David M. Maahs, Elizabeth Mayer-Davis, and Michael R. Kosorok. "Estimating Dynamic Treatment Regimes in Mobile Health Using V-learning." J Am Stat Assoc 115, no. 530 (2020): 692-706.
Ding, Jieli, Haibo Zhou, Yanyan Liu, Jianwen Cai, and Matthew P. Longnecker. "Estimating effect of environmental contaminants on women's subfecundity for the MoBa study data with an outcome-dependent sampling scheme." Biostatistics 15, no. 4 (2014): 636-50.
Nguyen, Crystal T., Daniel J. Luckett, Anna R. Kahkoska, Grace E. Shearrer, Donna Spruijt-Metz, Jaimie N. Davis, and Michael R. Kosorok. "Estimating individualized treatment regimes from crossover designs." Biometrics 76, no. 3 (2020): 778-788.
Chen, Jingxiang, Haoda Fu, Xuanyao He, Michael R. Kosorok, and Yufeng Liu. "Estimating individualized treatment rules for ordinal treatments." Biometrics 74, no. 3 (2018): 924-933.
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. Estimating Individualized Treatment Rules Using Outcome Weighted Learning., 2011.
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.
Joshi, Neha, Jason Fine, Rong Chu, and Anastasia Ivanova. "Estimating the subgroup and testing for treatment effect in a post-hoc analysis of a clinical trial with a biomarker." J Biopharm Stat 29, no. 4 (2019): 685-695.
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. Estimating treatment effects with treatment switching via semi-competing risks models: An application to a colorectal cancer study., 2011.
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.
Milanzi, Elasma, Geert Molenberghs, Ariel Alonso, Michael G. Kenward, Anastasios A. Tsiatis, Marie Davidian, and Geert Verbeke. "Estimation After a Group Sequential Trial." Stat Biosci 7, no. 2 (2015): 187-205.
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.
Linn, Kristin A., Eric B. Laber, and Leonard A. Stefanski. "Estimation of dynamic treatment regimes for complex outcomes: Balancing benefits and risks." In Adaptive Treatment Strategies in Practice: Planning Trials and Analyzing Data for Personalized Medicine, 249-262. Philadelphia: ASA-SIAM, 2016.
Zhao, Ying-Qi, and Eric B. Laber. "Estimation of optimal dynamic treatment regimes." Clin Trials 11, no. 4 (2014): 400-407.
Zhao, Yingqi. Estimation of Optimal Dynamic Treatment Regimes., 2014.
Jiang, Runchao, Wenbin Lu, Rui Song, and Marie Davidian. "On Estimation of Optimal Treatment Regimes For Maximizing -Year Survival Probability." J R Stat Soc Series B Stat Methodol 79, no. 4 (2017): 1165-1185.
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.
Tamura, Roy N., Xiaohong Huang, and Dennis D. Boos. "Estimation of treatment effect for the sequential parallel design." Stat Med 30, no. 30 (2011): 3496-506.
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.
Koehler, Megan L., Howard D. Bondell, and Jung-Ying Tzeng. "Evaluating haplotype effects in case-control studies via penalized-likelihood approaches: prospective or retrospective analysis?" Genet Epidemiol 34, no. 8 (2010): 892-911.
Laber, Eric B., and Min Qian. "Evaluating personalized treatment regimes." In Methods in Comparative Effectiveness Research. New York: Chapman and Hall/CRC, 2017.
Cao, Guanqun, David Todem, Lijian Yang, and Jason P. Fine. "Evaluating Statistical Hypotheses Using Weakly-Identifiable Estimating Functions." Scand Stat Theory Appl 40, no. 2 (2013): 256-273.
Wang, L. Evaluation of Viable Dynamic Treatment Regimes in a Sequentially Randomized Trial of Advanced Prostate Cancer., 2014.
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.
Acharya, Chaitanya R., Janice M. McCarthy, Kouros Owzar, and Andrew S. Allen. "Exploiting expression patterns across multiple tissues to map expression quantitative trait loci." BMC Bioinformatics 17 (2016): 257.
Goldberg, Y, and M R. Kosorok. "An Exponential Bound for Cox Regression." Stat Probab Lett 82, no. 7 (2012): 1267-1272.
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Sibley, Alexander, Zhiguo Li, Yu Jiang, Yi-Ju Li, Cliburn Chan, Andrew Allen, and Kouros Owzar. "Facilitating the Calculation of the Efficient Score Using Symbolic Computing." Am Stat 72, no. 2 (2018): 199-205.
Post, Justin B., and Howard D. Bondell. "Factor selection and structural identification in the interaction ANOVA model." Biometrics 69, no. 1 (2013): 70-9.
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.
Xie, Jichun, and Ruosha Li. "False discovery rate control for high dimensional networks of quantile associations conditioning on covariates." J R Stat Soc Series B Stat Methodol 80, no. 5 (2018): 1015-1034.
Chang, S-M, J-Y Tzeng, and R-B Chen. "Fast Bayesian Variable Screenings for Binary Response Regressions with Small Sample Size." J Stat Comput Simul 87, no. 14 (2017): 2708-2723.
Marceau, Rachel, Wenbin Lu, Shannon Holloway, Michèle M. Sale, Bradford B. Worrall, Stephen R. Williams, Fang-Chi Hsu, and Jung-Ying Tzeng. "A Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction." Genet Epidemiol 39, no. 6 (2015): 456-68.
Madar, V. Faster algorithm to control the Benjamini-Hochberg false discovery rate and its application for analysis of huge genomic data.., 2014.
Lin, Jiaxing, Alexander Sibley, Ivo Shterev, Andrew Nixon, Federico Innocenti, Cliburn Chan, and Kouros Owzar. "fastJT: An R package for robust and efficient feature selection for machine learning and genome-wide association studies." BMC Bioinformatics 20, no. 1 (2019): 333.
Lin, Jiaxing, Alexander Sibley, Ivo D. Shterev, and Kouros Owzar. fastJT: Efficient Jonckheere-Terpstra Test Statistics for Robust Machine Learning and Genome-Wide Association Studies (R). 1.0.4 ed., 2017.

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