Publications

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Song, Rui, Moulinath Banerjee, and Michael R. Kosorok. "ASYMPTOTICS FOR CHANGE-POINT MODELS UNDER VARYING DEGREES OF MIS-SPECIFICATION." Ann Stat 44, no. 1 (2016): 153-182.
Song, Guochen. TRECASE_MLE: eQTL mapping based on total read count and allele-specific expression in RNA-Seq data with maximum-likelihood estimation (C/C++).., 2015.
Song, R, W Wang, D Zeng, and M R. Kosorok. "Penalized Q-Learning for Dynamic Treatment Regimens." Stat Sin 25, no. 3 (2015): 901-920.
Song, Rui, Shikai Luo, Donglin Zeng, Hao Helen Zhang, Wenbin Lu, and Zhiguo Li. "Semiparametric Single-Index Model for Estimating Optimal Individualized Treatment Strategy." Electron J Stat 11, no. 1 (2017): 364-384.
Song, Rui, Michael Kosorok, Donglin Zeng, Yingqi Zhao, Eric Laber, and Ming Yuan. "On Sparse representation for Optimal Individualized Treatment Selection with Penalized Outcome Weighted Learning." Stat 4, no. 1 (2015): 59-68.
Song, Rui. Penalized Q-Learning for Dynamic Treatment Regimes., 2012.
Song, Rui, Feng Yi, and Hui Zou. "On Varying-coefficient Independence Screening for High-dimensional Varying-coefficient Models." Stat Sin 24, no. 4 (2014): 1735-1752.
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.
Song, Rui, Wenbin Lu, Shuangge Ma, and Jessie X Jeng. "Censored Rank Independence Screening for High-dimensional Survival Data." Biometrika 101, no. 4 (2014): 799-814.
Srivastava, Avi, Laraib Malik, Hirak Sarkar, Mohsen Zakeri, Fatemeh Almodaresi, Charlotte Soneson, Michael I. Love, Carl Kingsford, and Rob Patro. "Alignment and mapping methodology influence transcript abundance estimation." Genome Biol 21, no. 1 (2020): 239.
Staicu, Ana-Maria, Md Nazmul Islam, Raluca Dumitru, and Eric van Heugten. "Longitudinal dynamic functional regression." J R Stat Soc Ser C Appl Stat 69, no. 1 (2020): 25-46.
Stefanski, Leonard A., Yichao Wu, and Kyle White. skda: Sparse (multicategory) kernel discriminant analysis (R).. 0.1 ed., 2013.
Stefanski, L A., Yichao Wu, and Kyle White. "Variable Selection in Nonparametric Classification via Measurement Error Model Selection Likelihoods." J Am Stat Assoc 109, no. 506 (2014): 574-589.
Stinchcombe, Thomas E., Ying Zhang, Everett E. Vokes, Joan H. Schiller, Jeffrey D. Bradley, Karen Kelly, Walter J. Curran, Steven E. Schild, Benjamin Movsas, Gerald Clamon et al. "Pooled Analysis of Individual Patient Data on Concurrent Chemoradiotherapy for Stage III Non-Small-Cell Lung Cancer in Elderly Patients Compared With Younger Patients Who Participated in US National Cancer Institute Cooperative Group Studies." J Clin Oncol 35, no. 25 (2017): 2885-2892.
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.
Storlie, Curtis B., Howard D. Bondell, Brian J. Reich, and Hao Helen Zhang. "Surface Estimation, Variable Selection, and the Nonparametric Oracle Property." Stat Sin 21, no. 2 (2011): 679-705.
Su, Lin, Wenbin Lu, and Rui Song. "Modelling and estimation for optimal treatment decision with interference." Stat (Int Stat Inst) 8, no. 1 (2019).
Sun, Qiang, Hongtu Zhu, Yufeng Liu, and Joseph G. Ibrahim. "SPReM: Sparse Projection Regression Model For High-dimensional Linear Regression." J Am Stat Assoc 110, no. 509 (2015): 289-302.
Sun, Wei, Paul Bunn, Chong Jin, Paul Little, Vasyl Zhabotynsky, Charles M. Perou, David Neil Hayes, Mengjie Chen, and Dan-Yu Lin. "The association between copy number aberration, DNA methylation and gene expression in tumor samples." Nucleic Acids Res 46, no. 6 (2018): 3009-3018.
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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.
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.
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.
Tang, Zheng-Zheng, and Dan-Yu Lin. "Meta-analysis of sequencing studies with heterogeneous genetic associations." Genet Epidemiol 38, no. 5 (2014): 389-401.
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.
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, 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.
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.
Tang, Niansheng, Puying Zhao, and Hongtu Zhu. "Empirical Likelihood for Estimating Equations with Nonignorably Missing Data." Stat Sin 24, no. 2 (2014): 723-747.
Tao, Ran. TwoPhaseReg: Regression Analysis Under General Two-Phase Sampling (R)., 2018.
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.
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.
Tao, Ran, Donglin Zeng, Nora Franceschini, Kari E. North, Eric Boerwinkle, and Dan-Yu Lin. "Analysis of Sequence Data Under Multivariate Trait-Dependent Sampling." J Am Stat Assoc 110, no. 510 (2015): 560-572.
Thall, PF. SMART Design, Conduct, and Analysis in Oncology., 2014.
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.
Thomas, Laine, Leonard Stefanski, and Marie Davidian. "A moment-adjusted imputation method for measurement error models." Biometrics 67, no. 4 (2011): 1461-70.
Todem, David, Kyungmann Kim, Jason Fine, and Limin Peng. "Semiparametric regression models and sensitivity analysis of longitudinal data with nonrandom dropouts." Stat Neerl 64, no. 2 (2010): 133-156.
Todem, D, J Fine, and L Peng. "A global sensitivity test for evaluating statistical hypotheses with nonidentifiable models." Biometrics 66, no. 2 (2010): 558-66.
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.
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.
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.
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.
Tsiatis, Anastasios A., Marie Davidian, and Weihua Cao. "Improved doubly robust estimation when data are monotonely coarsened, with application to longitudinal studies with dropout." Biometrics 67, no. 2 (2011): 536-45.
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.
Tzeng, Jung-Ying. A gene-trait similarity regression method for gene-level pharmacogenetics analysis., 2011.
Tzeng, Jung-Ying, Wenbin Lu, and Fang-Chi Hsu. "GENE-LEVEL PHARMACOGENETIC ANALYSIS ON SURVIVAL OUTCOMES USING GENE-TRAIT SIMILARITY REGRESSION." Ann Appl Stat 8, no. 2 (2014): 1232-1255.
Tzeng, Jung-Ying, Daowen Zhang, Monnat Pongpanich, Chris Smith, Mark I. McCarthy, Michèle M. Sale, Bradford B. Worrall, Fang-Chi Hsu, Duncan C. Thomas, and Patrick F. Sullivan. "Studying gene and gene-environment effects of uncommon and common variants on continuous traits: a marker-set approach using gene-trait similarity regression." Am J Hum Genet 89, no. 2 (2011): 277-88.
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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.
Verbeke, Geert, Steffen Fieuws, Geert Molenberghs, and Marie Davidian. "The analysis of multivariate longitudinal data: a review." Stat Methods Med Res 23, no. 1 (2014): 42-59.
Verde, Audrey R., Francois Budin, Jean-Baptiste Berger, Aditya Gupta, Mahshid Farzinfar, Adrien Kaiser, Mihye Ahn, Hans Johnson, Joy Matsui, Heather C. Hazlett et al. "UNC-Utah NA-MIC framework for DTI fiber tract analysis." Front Neuroinform 7 (2014): 51.
Viele, Kert, Scott Berry, Beat Neuenschwander, Billy Amzal, Fang Chen, Nathan Enas, Brian Hobbs, Joseph G. Ibrahim, Nelson Kinnersley, Stacy Lindborg et al. "Use of historical control data for assessing treatment effects in clinical trials." Pharm Stat 13, no. 1 (2014): 41-54.
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.
Vock, David M., Marie Davidian, and Anastasios A. Tsiatis. SNP_NLMM: Implement a flexible random effects density for generalized linear and nonlinear mixed models (SAS).., 2014.
Vock, David M., Michael T. Durheim, Wayne M. Tsuang, Ashley Finlen C Copeland, Anastasios A. Tsiatis, Marie Davidian, Megan L. Neely, David J. Lederer, and Scott M. Palmer. "Survival Benefit of Lung Transplantation in the Modern Era of Lung Allocation." Ann Am Thorac Soc 14, no. 2 (2017): 172-181.
Vock, David M., Marie Davidian, and Anastasios A. Tsiatis. "SNP_NLMM: A SAS Macro to Implement a Flexible Random Effects Density for Generalized Linear and Nonlinear Mixed Models." J Stat Softw 56 (2014): 2.
Vock, David M., Anastasios A. Tsiatis, Marie Davidian, Eric B. Laber, Wayne M. Tsuang, Ashley Finlen C Copeland, and Scott M. Palmer. "Assessing the causal effect of organ transplantation on the distribution of residual lifetime." Biometrics 69, no. 4 (2013): 820-9.
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Wages, Nolan A., Anastasia Ivanova, and Olga Marchenko. "Practical designs for Phase I combination studies in oncology." J Biopharm Stat 26, no. 1 (2016): 150-66.
Wahed, AS. Baseline Covariate Adjustment in SMART Studies via Artificial Randomization., 2014.
Walter, Vonn, Andrew B. Nobel, and Fred A. Wright. DiNAMIC: Discovering copy number aberrations manifested in cancer (R).., 2011.
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.
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.
Wang, Yu-Bo, Ming-Hui Chen, Lynn Kuo, and Paul O. Lewis. "Partition Weighted Approach for Estimating the Marginal Posterior Density with Applications." J Comput Graph Stat 28, no. 2 (2019): 334-349.
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.
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.
Wang, Lan, Yu Zhou, Rui Song, and Ben Sherwood. "Quantile-Optimal Treatment Regimes." J Am Stat Assoc 113, no. 523 (2018): 1243-1254.
Wang, Xiaofei, Steven Piantadosi, Jennifer Le-Rademacher, and Sumithra J. Mandrekar. "Statistical Considerations for Subgroup Analyses." J Thorac Oncol 16, no. 3 (2021): 375-380.
Wang, Yuanjia, Tianle Chen, and Donglin Zeng. "Support Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes." J Mach Learn Res 17 (2016).
Wang, Zhi, Arnab Maity, Yiwen Luo, Megan L. Neely, and Jung-Ying Tzeng. "Complete effect-profile assessment in association studies with multiple genetic and multiple environmental factors." Genet Epidemiol 39, no. 2 (2015): 122-33.
Wang, Ting. AEBSD: Sample size of AEBSD and Comparison with BSD (R)., 2018.
Wang, Xiaofei, Jianwen Cai, and Stephen L. George. Enriched biomarker-driven clinical trials. In Wiley StatsRef: Statistics Reference Online. Wiley, 2019.
Wang, Xiaofei, and Mark F. Berry. "Risk calculators are useful but...." J Thorac Cardiovasc Surg 151, no. 3 (2016): 706-707.
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.
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.
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.
Wang, Yuanjia, Huaihou Chen, Donglin Zeng, Christine Mauro, Naihua Duan, and Katherine M Shear. "Auxiliary marker-assisted classification in the absence of class identifiers." J Am Stat Assoc 108, no. 502 (2013): 553-565.
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.
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.
Wang, WeiBo, Wei Wang, Wei Sun, James J. Crowley, and Jin P. Szatkiewicz. "Allele-specific copy-number discovery from whole-genome and whole-exome sequencing." Nucleic Acids Res 43, no. 14 (2015): e90.
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.
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, Xiaofei, Junling Ma, and Stephen L. George. "ROC curve estimation under test-result-dependent sampling." Biostatistics 14, no. 1 (2013): 160-72.
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.
Wang, Xuefeng, Mengjie Chen, Xiaoqing Yu, Natapol Pornputtapong, Hao Chen, Nancy R. Zhang, Scott R Powers, and Michael Krauthammer. CLOSE: A toolkit for CNA/LOH analysis with Sequencing data., 2016.
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.
Wang, Ting, Xiaofei Wang, Haibo Zhou, Jianwen Cai, and Stephen L. George. "Auxiliary variable-enriched biomarker-stratified design." Stat Med 37, no. 30 (2018): 4610-4635.
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.
Wang, Xiaofei, Lin Gu, Ying Zhang, Daniel J. Sargent, William Richards, Apar Kishor Ganti, Jeffery Crawford, Harvey Jay Cohen, Thomas Stinchcombe, Everett Vokes et al. "Validation of survival prognostic models for non-small-cell lung cancer in stage- and age-specific groups." Lung Cancer 90, no. 2 (2015): 281-7.
Wang, Xiaofei. Biased sampling and its applications in biomarker validation., 2011.
Wang, Xin, Michael P. Epstein, and Jung-Ying Tzeng. "Analysis of gene-gene interactions using gene-trait similarity regression." Hum Hered 78, no. 1 (2014): 17-26.
Wang, Xiaofei, Xiaoyi Wang, Lydia Hodgson, Stephen L. George, Daniel J. Sargent, Nate R. Foster, Apar Kishor Ganti, Thomas E. Stinchcombe, Jeffrey Crawford, Robert Kratzke et al. "Validation of Progression-Free Survival as a Surrogate Endpoint for Overall Survival in Malignant Mesothelioma: Analysis of Cancer and Leukemia Group B and North Central Cancer Treatment Group (Alliance) Trials." Oncologist 22, no. 2 (2017): 189-198.
Wang, Chun, Ming-Hui Chen, Elizabeth Schifano, Jing Wu, and Jun Yan. "Statistical methods and computing for big data." Stat Interface 9, no. 4 (2016): 399-414.
Wang, L. Evaluation of Viable Dynamic Treatment Regimes in a Sequentially Randomized Trial of Advanced Prostate Cancer., 2014.
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.
Wang, Yu-Bo, Ming-Hui Chen, Wei Shi, Paul Lewis, and Lynn Kuo. "Inflated Density Ratio and Its Variation and Generalization for Computing Marginal Likelihoods." J Korean Stat Soc 49, no. 1 (2020): 244-263.
Wang, Xin, Daowen Zhang, and Jung-Ying Tzeng. "Pathway-guided identification of gene-gene interactions." Ann Hum Genet 78, no. 6 (2014): 478-91.
Wang, WeiBo, Wei Wang, Wei Sun, James J. Crowley, and Jin P. Szatkiewicz. ASGENSENG: Detect Allele Specific CNV from Both WGS and WES Data (Python/Shell)., 2015.
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.
Wang, Ting. Biomarker Stratified Design Enriched by Auxiliary Biomarker., 2016.

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