Publications

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Huque, Md Hamidul, Howard D. Bondell, Raymond J. Carroll, and Louise M. Ryan. "Spatial regression with covariate measurement error: A semiparametric approach." Biometrics 72, no. 3 (2016): 678-86.
Reich, Brian J., and Howard D. Bondell. "A spatial dirichlet process mixture model for clustering population genetics data." Biometrics 67, no. 2 (2011): 381-90.
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.
Shi, Chengchun, Wenbin Lu, and Rui Song. "A Sparse Random Projection-based Test for Overall Qualitative Treatment Effects." J Am Stat Assoc 115, no. 531 (2020): 1201-1213.
He, Qianchuan, Hao Helen Zhang, Christy L. Avery, and D Y. Lin. "Sparse meta-analysis with high-dimensional data." Biostatistics 17, no. 2 (2016): 205-20.
Liang, Shuhan, Wenbin Lu, Rui Song, and Lan Wang. "Sparse concordance-assisted learning for optimal treatment decision." J Mach Learn Res 18 (2018).
Cheng, Guang, Hao Helen Zhang, and Zuofeng Shang. "Sparse and Efficient Estimation for Partial Spline Models with Increasing Dimension." Ann Inst Stat Math 67, no. 1 (2015): 93-127.
Bahmani, A, Alexander Sibley, M Parsian, Kouros Owzar, and F Mueller. SparkScore: Leveraging Apache Spark for Distributed Genomic Inference. In 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE Computer Society Conference Publishing Services, 2016.
George, Stephen L.. Sorting the wheat from the chaff: How do we know which cancer therapies really work? . Huffington Post, 2013.
Mitha, Faheem, Herodotos Herodotou, Nedyalko Borisov, Chen Jiang, Josh Yoder, and Kouros Owzar. "SNPpy--database management for SNP data from genome wide association studies." PLoS One 6, no. 10 (2011): e24982.
Mitha, Faheem, Herodotos Herodotou, Nedyalko Borisov, Chen Jiang, Josh Yoder, and Kouros Owzar. SNPpy: Database management for SNP data from genome wide association studies.., 2011.
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., 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.
Hu, Yi-Juan, Dan-Yu Lin, and Donglin Zeng. SNPMStat v4.0 : Statistical analysis of SNP-disease association with missing genotype data.., 2011.
Yi, Chanhee, Alexander Sibley, and Kouros Owzar. snplist: Tools to create gene sets (R).. 0.12 ed., 2013.
Chen, Stephanie T., Luo Xiao, and Ana-Maria Staicu. "A smoothing-based goodness-of-fit test of covariance for functional data." Biometrics 75, no. 2 (2019): 562-571.
Thall, PF. SMART Design, Conduct, and Analysis in Oncology., 2014.
Liu, Leo Yu- Feng, Yufeng Liu, and Hongtu Zhu. "SMAC: Spatial multi-category angle-based classifier for high-dimensional neuroimaging data." Neuroimage 175 (2018): 230-245.
Stefanski, Leonard A., Yichao Wu, and Kyle White. skda: Sparse (multicategory) kernel discriminant analysis (R).. 0.1 ed., 2013.
Laber, Eric B.. Sizing a trial for estimation of an optimal treatment regime., 2014.
Yang, Yanyan, Jinchuan Hu, Christopher P. Selby, Wentao Li, Askar Yimit, Yuchao Jiang, and Aziz Sancar. "Single-nucleotide resolution analysis of nucleotide excision repair of ribosomal DNA in humans and mice." J Biol Chem 294, no. 1 (2019): 210-217.
Wisdom, Amy J., Yvonne M. Mowery, Cierra S. Hong, Jonathon E. Himes, Barzin Y. Nabet, Xiaodi Qin, Dadong Zhang, Lan Chen, Hélène Fradin, Rutulkumar Patel et al. "Single cell analysis reveals distinct immune landscapes in transplant and primary sarcomas that determine response or resistance to immunotherapy." Nat Commun 11, no. 1 (2020): 6410.
Cao, Hongyuan, and Michael R. Kosorok. "Simultaneous Critical Values For T-Tests In Very High Dimensions." Bernoulli (Andover) 17, no. 1 (2011): 347-394.
Hao, Botao, Will Wei Sun, Yufeng Liu, and Guang Cheng. "Simultaneous Clustering and Estimation of Heterogeneous Graphical Models." J Mach Learn Res 18 (2018).
Chen, Yasheng, Songbai Ji, Xunlei Wu, Hongyu An, Hongtu Zhu, Dinggang Shen, and Weili Lin. "Simulation of brain mass effect with an arbitrary Lagrangian and Eulerian FEM." Med Image Comput Comput Assist Interv 13, no. Pt 2 (2010): 274-81.
Chen, Yong, Yulun Liu, Haitao Chu, Mei-Ling Ting Lee, and Christopher H. Schmid. "A simple and robust method for multivariate meta-analysis of diagnostic test accuracy." Stat Med 36, no. 1 (2017): 105-121.
Lin, Dan-Yu. "A simple and accurate method to determine genomewide significance for association tests in sequencing studies." Genet Epidemiol 43, no. 4 (2019): 365-372.
Ivanova, Anastasia, and A Deal. Simon’s like design with relaxed futility stopping (Web)., 2017.
Kimes, Patrick. sigclust2: Statistical Significance for Hierarchical Clustering (R). 1.2.4 ed., 2016.
Hyun, Jung Won, Yimei Li, John H. Gilmore, Zhaohua Lu, Martin Styner, and Hongtu Zhu. "SGPP: spatial Gaussian predictive process models for neuroimaging data." Neuroimage 89 (2014): 70-80.
Skup, Martha, Hongtu Zhu, Yaping Wang, Kelly S. Giovanello, Ja-an Lin, Dinggang Shen, Feng Shi, Wei Gao, Weili Lin, Yong Fan et al. "Sex differences in grey matter atrophy patterns among AD and aMCI patients: results from ADNI." Neuroimage 56, no. 3 (2011): 890-906.
Laber, Eric B., Daniel J. Lizotte, and Bradley Ferguson. "Set-valued dynamic treatment regimes for competing outcomes." Biometrics 70, no. 1 (2014): 53-61.
Liu, Ying, Yuanjia Wang, and Donglin Zeng. "Sequential multiple assignment randomization trials with enrichment design." Biometrics 73, no. 2 (2017): 378-390.
Fan, Ailin, Wenbin Lu, and Rui Song. "Sequential advantage selection for optimal treatment regime." Ann Appl Stat 10, no. 1 (2016): 32-53.
Hu, Yi-Juan, Yun Li, Paul L. Auer, and Dan-Yu Lin. SEQGWAS: Integrative analysis of sequencing and GWAS data (C/C++).. 1.0 ed., 2015.
Zhao, Yue, Benjamin R. Saville, Haibo Zhou, and Gary G. Koch. "Sensitivity analysis for missing outcomes in time-to-event data with covariate adjustment." J Biopharm Stat 26, no. 2 (2016): 269-79.
Zeng, Donglin, Douglas E. Schaubel, and Jianwen Cai. "Semiparametric Transformation Rate Model for Recurrent Event Data." Stat Biosci 3, no. 2 (2011): 187-207.
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.
Wu, Yuan, Christina D. Chambers, and Ronghui Xu. "Semiparametric sieve maximum likelihood estimation under cure model with partly interval censored and left truncated data for application to spontaneous abortion." Lifetime Data Anal 25, no. 3 (2019): 507-528.
Kim, Eunhee, and Donglin Zeng. "SEMIPARAMETRIC ROC ANALYSIS USING ACCELERATED REGRESSION MODELS." Stat Sin 23 (2013): 829-851.
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.
Mao, Lu, and D Y. Lin. "Semiparametric regression for the weighted composite endpoint of recurrent and terminal events." Biostatistics 17, no. 2 (2016): 390-403.
Liang, Baosheng, Xingwei Tong, Donglin Zeng, and Yuanjia Wang. "SEMIPARAMETRIC REGRESSION ANALYSIS OF REPEATED CURRENT STATUS DATA." Stat Sin 27, no. 3 (2017): 1079-1100.
Gao, Fei, Donglin Zeng, David Couper, and D Y. Lin. "Semiparametric Regression Analysis of Multiple Right- and Interval-Censored Events." J Am Stat Assoc 114, no. 527 (2019): 1232-1240.
Gao, Fei, Donglin Zeng, and Dan-Yu Lin. "Semiparametric regression analysis of interval-censored data with informative dropout." Biometrics 74, no. 4 (2018): 1213-1222.
Mao, Lu, Dan-Yu Lin, and Donglin Zeng. "Semiparametric regression analysis of interval-censored competing risks data." Biometrics 73, no. 3 (2017): 857-865.
Zhang, Hong, Donglin Zeng, Sylviane Olschwang, and Kai Yu. "Semiparametric inference on the penetrances of rare genetic mutations based on a case-family design." J Stat Plan Inference 143, no. 2 (2013): 368-377.
Zhou, Haibo, Wangli Xu, Donglin Zeng, and Jianwen Cai. "Semiparametric Inference for Data with a Continuous Outcome from a Two-Phase Probability Dependent Sampling Scheme." J R Stat Soc Series B Stat Methodol 76, no. 1 (2014): 197-215.
Zhou, Qingning, Jianwen Cai, and Haibo Zhou. "Semiparametric inference for a two-stage outcome-dependent sampling design with interval-censored failure time data." Lifetime Data Anal 26, no. 1 (2020): 85-108.
Zhou, Haibo, Yuanshan Wu, Yanyan Liu, and Jianwen Cai. "Semiparametric inference for a 2-stage outcome-auxiliary-dependent sampling design with continuous outcome." Biostatistics 12, no. 3 (2011): 521-34.
Lu, Xiaomin, and Anastasios A. Tsiatis. "Semiparametric estimation of treatment effect with time-lagged response in the presence of informative censoring." Lifetime Data Anal 17, no. 4 (2011): 566-93.
Gao, Fei, Donglin Zeng, and Dan-Yu Lin. "Semiparametric estimation of the accelerated failure time model with partly interval-censored data." Biometrics 73, no. 4 (2017): 1161-1168.
Yang, S, K Pieper, and F Cools. "Semiparametric estimation of structural failure time models in continuous-time processes." Biometrika 107, no. 1 (2020): 123-136.
Hua, Zhaowei, David B. Dunson, John H. Gilmore, Martin A. Styner, and Hongtu Zhu. "Semiparametric Bayesian local functional models for diffusion tensor tract statistics." Neuroimage 63, no. 1 (2012): 460-74.
Hua, Zhaowei, Hongtu Zhu, and David B. Dunson. "Semiparametric Bayes local additive models for longitudinal data." Stat Biosci 7, no. 1 (2015): 90-107.
Zeng, Donglin, Noorie Hyun, and Jianwen Cai. "Semiparametric Additive Model for Estimating Risk Difference in Multicenter Studies." Biostat Epidemiol 2, no. 1 (2018): 84-98.
Chen, Xiaolin, Qihua Wang, Jianwen Cai, and Viswanathan Shankar. "Semiparametric additive marginal regression models for multiple type recurrent events." Lifetime Data Anal 18, no. 4 (2012): 504-27.
Jia, Xiaoyu, Anastasia Ivanova, and Shing M. Lee. "Selection of the initial design for the two-stage continual reassessment method." J Biopharm Stat 27, no. 3 (2017): 495-506.
Pan, Yinghao, Jianwen Cai, Matthew P. Longnecker, and Haibo Zhou. "Secondary outcome analysis for data from an outcome-dependent sampling design." Stat Med 37, no. 15 (2018): 2321-2337.
Li, Fan, and Andrew S. Allen. "Secondary analysis of case-control association studies: Insights on weighting-based inference motivate a new specification test." Stat Med 39, no. 22 (2020): 2869-2882.
Yuan, Jiacheng, Herbert Pang, Tiejun Tong, Dong Xi, Wenzhao Guo, and Peter Mesenbrink. "Seamless Phase IIa/IIb and enhanced dose-finding adaptive design." J Biopharm Stat 26, no. 5 (2016): 912-23.
Lin, Dan-Yu, Donglin Zeng, and Zheng-Zheng Tang. SCORE-SeqTDS: Score tests for sequencing studies with trait-dependent sampling (C).. 3.0 ed., 2013.
Lin, Dan-Yu, and Zheng-Zheng Tang. SCORE-Seq: Score tests for detecting disease associations with rare variants in sequencing studies (C).. 5.0 ed., 2013.
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.
Ibrahim, Joseph G., Yeongjin Gwon, and Ming-Hui Chen. "SAS Macro BSMED: Bayesian survival meta-experimental design using historical data." In Pharmaceutical Statistics Using SAS. Cary: SAS Institute Inc, 2016.
Hu, Wenrong, Jianwen Cai, and Donglin Zeng. "Sample size/power calculation for stratified case-cohort design." Stat Med 33, no. 23 (2014): 3973-85.
Esserman, Denise, Yingqi Zhao, Yiyun Tang, and Jianwen Cai. "Sample size estimation in educational intervention trials with subgroup heterogeneity in only one arm." Stat Med 32, no. 12 (2013): 2140-54.
Chen, Liddy M., Joseph G. Ibrahim, and Haitao Chu. "Sample size determination in shared frailty models for multivariate time-to-event data." J Biopharm Stat 24, no. 4 (2014): 908-23.
Pang, Herbert, and Sin-Ho Jung. "Sample size considerations of prediction-validation methods in high-dimensional data for survival outcomes." Genet Epidemiol 37, no. 3 (2013): 276-82.
Li, Zhiguo, Xiaofei Wang, Yuan Wu, and Kouros Owzar. "Sample size calculation for studies with grouped survival data." Stat Med 37, no. 27 (2018): 3904-3917.
Jung, Sin-Ho, and Shein-Chung Chow. Sample size calculation for comparing survival curves under general hypotheses testing (Fortran).., 2012.
Jung, Sin-Ho, and Shein-Chung Chow. "On sample size calculation for comparing survival curves under general hypothesis testing." J Biopharm Stat 22, no. 3 (2012): 485-95.
Li, Jianghao, and Sin-Ho Jung. "Sample size calculation for cluster randomization trials with a time-to-event endpoint." Stat Med 39, no. 25 (2020): 3608-3623.
Chen, Liddy M., Joseph G. Ibrahim, and Haitao Chu. "Sample size and power determination in joint modeling of longitudinal and survival data." Stat Med 30, no. 18 (2011): 2295-309.
Liu, Yang, Wei Sun, and Qianchuan He. SAME: Somatic mutation Association test with Measurement Errors (R)., 2018.
Levenson, M. Safety decision-making with multiple sources and different types of studies—recent examples from FDA Advisory Committees., 2011.
Yang, Yuchen, Ruth Huh, Houston W. Culpepper, Yuan Lin, Michael I. Love, and Yun Li. "SAFE-clustering: Single-cell Aggregated (from Ensemble) clustering for single-cell RNA-seq data." Bioinformatics 35, no. 8 (2019): 1269-1277.
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Yi, Chanhee, Alexander Sibley, and Kouros Owzar. RSNPset: Genome-wide SNP set analysis on the basis of efficient scores (R).. v0.2 ed., 2014.
Wang, Xiaofei, Junling Ma, and Stephen L. George. "ROC curve estimation under test-result-dependent sampling." Biostatistics 14, no. 1 (2013): 160-72.
Sohn, Insuk, Kouros Owzar, Stephen L. George, Sujong Kim, and Sin-Ho Jung. "Robust test method for time-course microarray experiments." BMC Bioinformatics 11 (2010): 391.
Wong, Kin Yau, Donglin Zeng, and D Y. Lin. "Robust Score Tests With Missing Data in Genomics Studies." J Am Stat Assoc 114, no. 528 (2019): 1778-1786.
Xiao, W, H H. Zhang, and W Lu. "Robust regression for optimal individualized treatment rules." Stat Med 38, no. 11 (2019): 2059-2073.
Zhang, Chong, Minh Pham, Sheng Fu, and Yufeng Liu. "Robust Multicategory Support Vector Machines using Difference Convex Algorithm." Math Program 169, no. 1 (2018): 277-305.
Davidian, Marie. A robust method for estimating optimal treatment regimes., 2011.
Zhang, Baqun, Anastasios A. Tsiatis, Eric B. Laber, and Marie Davidian. "A robust method for estimating optimal treatment regimes." Biometrics 68, no. 4 (2012): 1010-8.
Shi, Chengchun, Rui Song, and Wenbin Lu. "Robust learning for optimal treatment decision with NP-dimensionality." Electron J Stat 10 (2016): 2894-2921.
Martinez, Kara, Arnab Maity, Robert H. Yolken, Patrick F. Sullivan, and Jung-Ying Tzeng. "Robust kernel association testing (RobKAT)." Genet Epidemiol 44, no. 3 (2020): 272-282.
Zhang, Baqun, Anastasios A. Tsiatis, Eric B. Laber, and Marie Davidian. "Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions." Biometrika 100, no. 3 (2013).
Zhu, Ruoqing, and Michael R. Kosorok. RLT: Reinforcement learning trees (R).. 2.0 ed., 2015.
Wang, Xiaofei, and Mark F. Berry. "Risk calculators are useful but..." J Thorac Cardiovasc Surg 151, no. 3 (2016): 706-707.
Chen, Xiaolin, and Jianwen Cai. "Reweighted estimators for additive hazard model with censoring indicators missing at random." Lifetime Data Anal 24, no. 2 (2018): 224-249.
A Gould, Lawrence, Mark Ernest Boye, Michael J. Crowther, Joseph G. Ibrahim, George Quartey, Sandrine Micallef, and Frederic Y. Bois. "Responses to discussants of 'Joint modeling of survival and longitudinal non-survival data: current methods and issues. report of the DIA Bayesian joint modeling working group'." Stat Med 34, no. 14 (2015): 2202-3.
Zhang, Baqun, Anastasios A. Tsiatis, Eric B. Laber, and Marie Davidian. "Response to reader reaction." Biometrics 71, no. 1 (2015): 267-273.
Zhou, Xin, Nicole Mayer-Hamblett, Umer Khan, and Michael R. Kosorok. "Residual Weighted Learning for Estimating Individualized Treatment Rules." J Am Stat Assoc 112, no. 517 (2017): 169-187.
Ren, Zheng, Marie Davidian, Stephen L. George, Richard M. Goldberg, Fred A. Wright, Anastasios A. Tsiatis, and Michael R. Kosorok. "Research methods for clinical trials in personalized medicine: A systematic review." In Lost In Translation: Barriers to Incentives for Translational Research in Medical Sciences. Singapore: World Scientific, 2014.
Yao, Xiaoxin I., Xiaofei Wang, Paul J. Speicher, Shelley E Hwang, Perry Cheng, David H. Harpole, Mark F. Berry, Deborah Schrag, and Herbert H. Pang. "Reporting and Guidelines in Propensity Score Analysis: A Systematic Review of Cancer and Cancer Surgical Studies." J Natl Cancer Inst 109, no. 8 (2017).
Lin, D Y., and D Zeng. "On the relative efficiency of using summary statistics versus individual-level data in meta-analysis." Biometrika 97, no. 2 (2010): 321-332.
Kong, Dehan, Arnab Maity, Fang-Chi Hsu, and Jung-Ying Tzeng. "Rejoinder to "A note on testing and estimation in marker-set association study using semiparametric quantile regression kernel machine"." Biometrics 74, no. 2 (2018): 767-768.
Zhu, Ruoqing, Donglin Zeng, and Michael R. Kosorok. "Reinforcement Learning Trees." J Am Stat Assoc 110, no. 512 (2015): 1770-1784.
Zhu, Ruoqing, Donglin Zeng, and Michael R. Kosorok. Reinforcement learning trees In The University of North Carolina at Chapel Hill Department of Biostatistics Technical Report Series. UNC at Chapel Hill. Chapel Hill: The University of North Carolina, 2012.

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