Publications

Filters: Author is Zeng, Donglin  [Clear All Filters]
Software
Cao, Hongyuan, Mathew M. Churpek, Donglin Zeng, Jason P. Fine, and Shannon T. Holloway. SurvLong: Analysis of proportional hazards model with sparse longitudinal covariates (R).. 1.0 ed., 2015.
Lin, Dan-Yu, R Tao, W Kalsbeek, Donglin Zeng, Franklyn Gonzalez, Lindsay Fernández-Rhodes, Mariaelisa Graff, Gary G. Koch, Kari E. North, and Gerardo Heiss. SUGEN: Genetic Association Analysis Under Complex Survey Sampling (C++)., 2014.
Hu, Yi-Juan, Dan-Yu Lin, and Donglin Zeng. SNPMStat v4.0 : Statistical analysis of SNP-disease association with missing genotype data.., 2011.
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.
Gao, Fei, Donglin Zeng, and Joseph G. Ibrahim. Power calculations and confidence intervals in phase II design with over enrollment (SAS/R).., 2014.
Gao, Fei, Donglin Zeng, and Dan-Yu Lin. PICAFT: Semiparametric Estimation of the Accelerated Failure Time Model With Partly Interval-Censored Data (R)., 2017.
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.
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.
Bunn, Paul, Donglin Zeng, and Dan-Yu Lin. IntCens: Nonparametric maximum likelihood estimation for a broad class of semiparametric regression models with general interval-censored data (R).., 2016.
Liu, Ying, Yuanjia Wang, and Donglin Zeng. DTRlearn: Learning Algorithms for Dynamic Treatment Regimes (R). 1.3 ed., 2018.
Line, Danyu, Donglin Zeng, and Shannon T. Holloway. DOVE: Durability of Vaccine Efficacy. v1.2 ed., 2021.
Hu, Yi-Juan, Dan-Yu Lin, Wei Sun, and Donglin Zeng. CNVstat: Statistical association analysis of copy number variants (C).. 1.0 ed., 2012.
Diao, Guoqing, Jun Dong, Donglin Zeng, and Joseph G. Ibrahim. BTAD : Biomarker Threshold Adaptive Designs for Survival Endpoints (C++)., 2018.
Cao, Hongyuan, Donglin Zeng, Jason P. Fine, and Shannon T. Holloway. AsynchLong: Regression analysis of sparse asynchronous longitudinal data (R).. 2.0 ed., 2016.
Report
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.
Journal Article
Lu, Wenbin, Hao Helen Zhang, and Donglin Zeng. "Variable selection for optimal treatment decision." Stat Methods Med Res 22, no. 5 (2013): 493-504.
Laber, Eric B., Ying-Qi Zhao, Todd Regh, Marie Davidian, Anastasios Tsiatis, Joseph B. Stanford, Donglin Zeng, Rui Song, and Michael R. Kosorok. "Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy." Stat Med 35, no. 8 (2016): 1245-56.
Chen, Tianle, Yuanjia Wang, Huaihou Chen, Karen Marder, and Donglin Zeng. "Targeted Local Support Vector Machine for Age-Dependent Classification." J Am Stat Assoc 109, no. 507 (2014): 1174-1187.
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).
Diao, Guoqing, Donglin Zeng, Joseph G. Ibrahim, Alan Rong, Oliver Lee, Kathy Zhang, and Qingxia Chen. "Statistical design of noninferiority multiple region clinical trials to assess global and consistent treatment effects." J Biopharm Stat 27, no. 6 (2017): 933-944.
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.
Liu, Ying, Yuanjia Wang, and Donglin Zeng. "Sequential multiple assignment randomization trials with enrichment design." Biometrics 73, no. 2 (2017): 378-390.
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.
Kim, Eunhee, and Donglin Zeng. "SEMIPARAMETRIC ROC ANALYSIS USING ACCELERATED REGRESSION MODELS." Stat Sin 23 (2013): 829-851.
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.
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.
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.
Hu, Wenrong, Jianwen Cai, and Donglin Zeng. "Sample size/power calculation for stratified case-cohort design." Stat Med 33, no. 23 (2014): 3973-85.
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.
Zhu, Ruoqing, Donglin Zeng, and Michael R. Kosorok. "Reinforcement Learning Trees." J Am Stat Assoc 110, no. 512 (2015): 1770-1784.
Zhao, Yufan, Donglin Zeng, Mark A. Socinski, and Michael R. Kosorok. "Reinforcement learning strategies for clinical trials in nonsmall cell lung cancer." Biometrics 67, no. 4 (2011): 1422-33.
Cao, Hongyuan, Donglin Zeng, and Jason P. Fine. "Regression analysis of sparse asynchronous longitudinal data." J R Stat Soc Series B Stat Methodol 77, no. 4 (2015): 755-776.
Lin, Dan-Yu, Donglin Zeng, and Zheng-Zheng Tang. "Quantitative trait analysis in sequencing studies under trait-dependent sampling." Proc Natl Acad Sci U S A 110, no. 30 (2013): 12247-52.
Ou, Fang-Shu, Donglin Zeng, and Jianwen Cai. "Quantile Regression Models for Current Status Data." J Stat Plan Inference 178 (2016): 112-127.
Chen, Qingxia, Donglin Zeng, Joseph G. Ibrahim, Ming-Hui Chen, Zhiying Pan, and Xiaodong Xue. "Quantifying the average of the time-varying hazard ratio via a class of transformations." Lifetime Data Anal 21, no. 2 (2015): 259-79.
Deng, Yu, Donglin Zeng, Jinying Zhao, and Jianwen Cai. "Proportional hazards model with a change point for clustered event data." Biometrics 73, no. 3 (2017): 835-845.
Zhu, Wensheng, Donglin Zeng, and Rui Song. "Proper Inference for Value Function in High-Dimensional Q-Learning for Dynamic Treatment Regimes." J Am Stat Assoc 114, no. 527 (2019): 1404-1417.
Liu, Zhongkai, Rui Song, Donglin Zeng, and Jiajia Zhang. "Principal Components Adjusted Variable Screening." Comput Stat Data Anal 110 (2017): 134-144.
Chen, Li, D Y. Lin, and Donglin Zeng. "Predictive accuracy of covariates for event times." Biometrika 99, no. 3 (2012): 615-630.
Chen, Guanhua, Donglin Zeng, and Michael R. Kosorok. "Personalized Dose Finding Using Outcome Weighted Learning." J Am Stat Assoc 111, no. 516 (2016): 1509-1521.
Chen, Huaihou, Donglin Zeng, and Yuanjia Wang. "Penalized nonlinear mixed effects model to identify biomarkers that predict disease progression." Biometrics 73, no. 4 (2017): 1343-1354.
Gao, Fei, Jun Dong, Donglin Zeng, Alan Rong, and Joseph G. Ibrahim. "Pattern mixture models for clinical validation of biomarkers in the presence of missing data." Stat Med 36, no. 19 (2017): 2994-3004.
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.
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.
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.
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.
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.
Kim, Sehee, Donglin Zeng, Lloyd Chambless, and Yi Li. "Joint Models of Longitudinal Data and Recurrent Events with Informative Terminal Event." Stat Biosci 4, no. 2 (2012): 262-281.
Choi, Jaeun, Donglin Zeng, Andrew F. Olshan, and Jianwen Cai. "Joint modeling of survival time and longitudinal outcomes with flexible random effects." Lifetime Data Anal 24, no. 1 (2018): 126-152.
Kim, Sehee, Donglin Zeng, Yi Li, and Donna Spiegelman. "Joint Modeling of Longitudinal and Cure-survival Data." J Stat Theory Pract 7, no. 2 (2013): 324-344.
Choi, Jaeun, Jianwen Cai, Donglin Zeng, and Andrew F. Olshan. "Joint Analysis of Survival Time and Longitudinal Categorical Outcomes." Stat Biosci 7, no. 1 (2015): 19-47.
Wong, Kin Yau, Cheng Fan, Maki Tanioka, Joel S. Parker, Andrew B. Nobel, Donglin Zeng, Dan-Yu Lin, and Charles M. Perou. "I-Boost: an integrative boosting approach for predicting survival time with multiple genomics platforms." Genome Biol 20, no. 1 (2019): 52.
Zeng, Donglin, Fei Gao, Kuolung Hu, Catherine Jia, and Joseph G. Ibrahim. "Hypothesis testing for two-stage designs with over or under enrollment." Stat Med 34, no. 16 (2015): 2417-26.
Lin, Dan-Yu, Ran Tao, William D. Kalsbeek, Donglin Zeng, Franklyn Gonzalez, Lindsay Fernández-Rhodes, Mariaelisa Graff, Gary G. Koch, Kari E. North, and Gerardo Heiss. "Genetic association analysis under complex survey sampling: the Hispanic Community Health Study/Study of Latinos." Am J Hum Genet 95, no. 6 (2014): 675-88.
Lin, Dan-Yu, Donglin Zeng, and David Couper. "A general framework for integrative analysis of incomplete multiomics data." Genet Epidemiol 44, no. 7 (2020): 646-664.
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.
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.
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.
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.
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.
Jiang, Binyan, Rui Song, Jialiang Li, and Donglin Zeng. "Entropy Learning for Dynamic Treatment Regimes." Stat Sin 29, no. 4 (2019): 1633-1655.
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.
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.
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.
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.
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.
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.
Zeng, Donglin, Ming-Hui Chen, Joseph G. Ibrahim, Rachel Wei, Beiying Ding, Chunlei Ke, and Qi Jiang. "A counterfactual p-value approach for benefit-risk assessment in clinical trials." J Biopharm Stat 25, no. 3 (2015): 508-24.
Goldberg, Yair, Rui Song, Donglin Zeng, and Michael R. Kosorok. "Comment on "Dynamic treatment regimes: technical challenges and applications"." Electron J Stat 8, no. 1 (2014): 1290-1300.
Chen, Jingxiang, Yufeng Liu, Donglin Zeng, Rui Song, Yingqi Zhao, and Michael R. Kosorok. "Comment." J Am Stat Assoc 111, no. 515 (2016): 942-947.
Chen, Li, D Y. Lin, and Donglin Zeng. "Checking semiparametric transformation models with censored data." Biostatistics 13, no. 1 (2012): 18-31.
M Hodgson, Elizabeth, Andrew F. Olshan, Kari E. North, Charles L. Poole, Donglin Zeng, Chiu-Kit Tse, Tope O. Keku, Joseph Galanko, Robert Sandler, and Robert C. Millikan. "The case-only independence assumption: associations between genetic polymorphisms and smoking among controls in two population-based studies." Int J Mol Epidemiol Genet 3, no. 4 (2012): 333-60.
Diao, Guoqing, Jun Dong, Donglin Zeng, Chunlei Ke, Alan Rong, and Joseph G. Ibrahim. "Biomarker threshold adaptive designs for survival endpoints." J Biopharm Stat 28, no. 6 (2018): 1038-1054.
Zhang, Yuanye, Ming-Hui Chen, Joseph G. Ibrahim, Donglin Zeng, Qingxia Chen, Zhiying Pan, and Xiaodong Xue. "Bayesian gamma frailty models for survival data with semi-competing risks and treatment switching." Lifetime Data Anal 20, no. 1 (2014): 76-105.
Chen, Ming-Hui, Joseph G. Ibrahim, Donglin Zeng, Kuolung Hu, and Catherine Jia. "Bayesian design of superiority clinical trials for recurrent events data with applications to bleeding and transfusion events in myelodyplastic syndrome." Biometrics 70, no. 4 (2014): 1003-13.
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.
Liu, Ying, Yuanjia Wang, Michael R. Kosorok, Yingqi Zhao, and Donglin Zeng. "Augmented outcome-weighted learning for estimating optimal dynamic treatment regimens." Stat Med 37, no. 26 (2018): 3776-3788.
Zeng, Donglin, Emil Cornea, Jun Dong, Jean Pan, and Joseph G. Ibrahim. "Assessing temporal agreement between central and local progression-free survival times." Stat Med 34, no. 5 (2015): 844-58.
Cao, Hongyuan, Mathew M. Churpek, Donglin Zeng, and Jason P. Fine. "Analysis of the Proportional Hazards Model with Sparse Longitudinal Covariates." J Am Stat Assoc 110, no. 511 (2015): 1187-1196.
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.
Kim, Soyoung, Donglin Zeng, and Jianwen Cai. "Analysis of multiple survival events in generalized case-cohort designs." Biometrics 74, no. 4 (2018): 1250-1260.
Cai, Jianwen, and Donglin Zeng. "Additive mixed effect model for clustered failure time data." Biometrics 67, no. 4 (2011): 1340-51.