Publications

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D
Meyer, Anne-Marie, William R. Carpenter, Amy P. Abernethy, Til Stürmer, and Michael R. Kosorok. "Data for cancer comparative effectiveness research: past, present, and future potential." Cancer 118, no. 21 (2012): 5186-97.
George, Stephen L., and Marc Buyse. "Data fraud in clinical trials." Clin Investig (Lond) 5, no. 2 (2015): 161-173.
Carpenter, William R.. Data needs for cancer comparative effectiveness research, and the Integrated Cancer Information and Surveillance System., 2012.
Liang, Shuhan, Wenbin Lu, and Rui Song. "Deep advantage learning for optimal dynamic treatment regime." Stat Theory Relat Fields 2, no. 1 (2018): 80-88.
Chen, Liddy M.. Design consideration for complex survival models., 2011.
Jung, Sin-Ho. "Design of Phase II Non-inferiority Trials." Contemp Clin Trials Commun 7 (2017): 23-27.
George, Stephen L.. "Design of phase III clinical trials." In Oncology Clinical Trials: Successful Design, Conduct, and Analysis. New York: Demos Medical Publishing, LLC, 2010.
Psioda, Matthew, and Joseph G. Ibrahim. design_biomAR: Bayes adaptive randomization for the probit model (SAS).., 2016.
Chen, Ting-Huei, Wei Sun, and Jason P. Fine. "Designing penalty functions in high dimensional problems: The role of tuning parameters." Electron J Stat 10, no. 2 (2016): 2312-2328.
Hung, Hung, Yu-Ting Lin, Penweng Chen, Chen-Chien Wang, Su-Yun Huang, and Jung-Ying Tzeng. "Detection of gene-gene interactions using multistage sparse and low-rank regression." Biometrics 72, no. 1 (2016): 85-94.
Shi, Chengchun, Wenbin Lu, and Rui Song. "Determining the Number of Latent Factors in Statistical Multi-Relational Learning." J Mach Learn Res 20 (2019).
Wang, Fan, Richard L. Schilsky, David Page, Robert M. Califf, Kei Cheung, Xiaofei Wang, and Herbert Pang. "Development and Validation of a Natural Language Processing Tool to Generate the CONSORT Reporting Checklist for Randomized Clinical Trials." JAMA Netw Open 3, no. 10 (2020): e2014661.
Simon, R. Development of Predictive Biomarkers for Molecular Targeted Therapy., 2012.
Zhu, Hongtu, Joseph G. Ibrahim, and Ming-Hui Chen. "Diagnostic Measures for the Cox Regression Model with Missing Covariates." Biometrika 102, no. 4 (2015): 907-923.
Williams, Lindsay A., Katherine A. Hoadley, Hazel B. Nichols, Joseph Geradts, Charles M. Perou, Michael I. Love, Andrew F. Olshan, and Melissa A. Troester. "Differences in race, molecular and tumor characteristics among women diagnosed with invasive ductal and lobular breast carcinomas." Cancer Causes Control 30, no. 1 (2019): 31-39.
Yimit, Askar, Ogun Adebali, Aziz Sancar, and Yuchao Jiang. "Differential damage and repair of DNA-adducts induced by anti-cancer drug cisplatin across mouse organs." Nat Commun 10, no. 1 (2019): 309.
Potthoff, Richard F.. "Differential losses to follow-up that are outcome-dependent can vitiate a clinical trial: Simulation results." J Biopharm Stat 28, no. 4 (2018): 633-644.
Shi, Yundi, Sarah J. Short, Rebecca C. Knickmeyer, Jiaping Wang, Christopher L. Coe, Marc Niethammer, John H. Gilmore, Hongtu Zhu, and Martin A. Styner. "Diffusion tensor imaging-based characterization of brain neurodevelopment in primates." Cereb Cortex 23, no. 1 (2013): 36-48.
Walter, Vonn, Andrew B. Nobel, and Fred A. Wright. "DiNAMIC: a method to identify recurrent DNA copy number aberrations in tumors." Bioinformatics 27, no. 5 (2011): 678-85.
Walter, Vonn, Andrew B. Nobel, and Fred A. Wright. DiNAMIC: Discovering copy number aberrations manifested in cancer (R).., 2011.
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.