Publications

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
I
Linn, Kristin A., Eric B. Laber, and Leonard A. Stefanski. "Interactive Q-learning for Quantiles." J Am Stat Assoc 112, no. 518 (2017): 638-649.
Pietryk, Edward W., Kiristin Clement, Marwa Elnagheeb, Ryan Kuster, Kayla Kilpatrick, Michael I. Love, and Folami Y. Ideraabdullah. "Intergenerational response to the endocrine disruptor vinclozolin is influenced by maternal genotype and crossing scheme." Reprod Toxicol 78 (2018): 9-19.
Zhang, Yichi, Eric B. Laber, Marie Davidian, and Anastasios A. Tsiatis. "Interpretable Dynamic Treatment Regimes." J Am Stat Assoc 113, no. 524 (2018): 1541-1549.
Zhang, Yichi. Interpretable treatment regimes., 2014.
Jiang, Liewen, Howard D. Bondell, and Huixia Judy Wang. "Interquantile Shrinkage and Variable Selection in Quantile Regression." Comput Stat Data Anal 69 (2014): 208-219.
Jiang, Liewen, Huixia Judy Wang, and Howard D. Bondell. "Interquantile Shrinkage in Regression Models." J Comput Graph Stat 22, no. 4 (2013).
Shi, Xiaoyan, Hongtu Zhu, Joseph G. Ibrahim, Faming Liang, Jeffrey Lieberman, and Martin Styner. "Intrinsic Regression Models for Medial Representation of Subcortical Structures." J Am Stat Assoc 107, no. 497 (2012): 12-23.
Nadkarni, Nivedita V., Yingqi Zhao, and Michael R. Kosorok. "Inverse regression estimation for censored data." J Am Stat Assoc 106, no. 493 (2011): 178-190.
Linn, Kristin A., Eric B. Laber, and Leonard A. Stefanski. "iqLearn: Interactive Q-Learning in R." J Stat Softw 64, no. 1 (2015).
Linn, Kristin A., Eric B. Laber, and Leonard A. Stefanski. iqLearn: Interactive Q-learning (R).., 2013.
Linn, Kristin A.. IQ-Learning., 2012.
J
Acharya, Chaitanya R., Janice M. McCarthy, Kouros Owzar, and Andrew S. Allen. JAGUAR: Joint analysis of genotype and group-specific variability using a novel score test approach to map expression quantitative trait loci (eQTL) (R). 3.0.1 ed., 2016.
Cornea, Emil, Liddy M. Chen, Bahjat Qaqish, Haitao Chu, and Joseph G. Ibrahim. JMDesign: Statistical design for joint models of longitudinal and survival data (R).. v1.1 ed., 2012.
Zhang, Danjie, Ming-Hui Chen, Joseph G. Ibrahim, Mark E. Boye, and Wei Shen. "JMFit: A SAS Macro for Joint Models of Longitudinal and Survival Data." J Stat Softw 71, no. 3 (2016).
Zhang, Danjie, Ming-Hui Chen, and Joseph G. Ibrahim. JMfit - For fitting joint models for longitudinal and survival data (SAS)., 2014.
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.
Lee, Wonyul, and Yufeng Liu. "Joint Estimation of Multiple Precision Matrices with Common Structures." J Mach Learn Res 16 (2015): 1035-1062.
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.
Chen, Qingxia, Ryan C. May, Joseph G. Ibrahim, Haitao Chu, and Stephen R. Cole. "Joint modeling of longitudinal and survival data with missing and left-censored time-varying covariates." Stat Med 33, no. 26 (2014): 4560-76.
A Gould, Lawrence, Mark Ernest Boye, Michael J. Crowther, Joseph G. Ibrahim, George Quartey, Sandrine Micallef, and Frederic Y. Bois. "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): 2181-95.
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, 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.
Liu, Jianyu, Wei Sun, and Yufeng Liu. "Joint skeleton estimation of multiple directed acyclic graphs for heterogeneous population." Biometrics 75, no. 1 (2019): 36-47.
Xiao, Wei, Wenbin Lu, and Hao Helen Zhang. "JOINT STRUCTURE SELECTION AND ESTIMATION IN THE TIME-VARYING COEFFICIENT COX MODEL." Stat Sin 26, no. 2 (2016): 547-567.
Lin, Jiaxing, Alexander Sibley, Ivo D. Shterev, and Kouros Owzar. jtGWAS: Efficient Jonckheere-Terpstra test statistics (R).. 1.0 ed., 2016.
Soneson, Charlotte, Michael I. Love, Rob Patro, Shobbir Hussain, Dheeraj Malhotra, and Mark D. Robinson. "A junction coverage compatibility score to quantify the reliability of transcript abundance estimates and annotation catalogs." Life Sci Alliance 2, no. 1 (2019).
L
Palumbo, Aimee, Yvonne Michael, and Terry Hyslop. "Latent class model characterization of neighborhood socioeconomic status." Cancer Causes Control 27, no. 3 (2016): 445-52.
Wei, Susan, and Michael R. Kosorok. "Latent Supervised Learning." J Am Stat Assoc 108, no. 503 (2013).
Lin, Jiaxing, Alexander Sibley, Trach Truong, Nancy Cox, Eileen Dolan, Yu Jiang, Janice M. McCarthy, Andrew S. Allen, Kouros Owzar, and Zhiguo Li. lclGWAS: Efficient estimation of discrete-time multivariate frailty model using exact likelihood function for grouped survival data (R).., 2016.
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.
Shortreed, Susan M.. Leveraging Electronic Medical Records to Better Target Suicide Prevention., 2016.
Hibbard, Jonathan C., Jonathan S. Friedstat, Sonia M. Thomas, Renee E. Edkins, Scott C Hultman, and Michael R. Kosorok. "LIBERTI: A SMART study in plastic surgery." Clin Trials 15, no. 3 (2018): 286-293.
Shi, Chengchun, Rui Song, Zhao Chen, and Runze Li. "LINEAR HYPOTHESIS TESTING FOR HIGH DIMENSIONAL GENERALIZED LINEAR MODELS." Ann Stat 47, no. 5 (2019): 2671-2703.
Zhang, Hao Helen, Guang Cheng, and Yufeng Liu. "Linear or Nonlinear? Automatic Structure Discovery for Partially Linear Models." J Am Stat Assoc 106, no. 495 (2011): 1099-1112.
Chang, Jinyuan, Cheng Yong Tang, and Yichao Wu. "LOCAL INDEPENDENCE FEATURE SCREENING FOR NONPARAMETRIC AND SEMIPARAMETRIC MODELS BY MARGINAL EMPIRICAL LIKELIHOOD." Ann Stat 44, no. 2 (2016): 515-539.
Yuan, Ying, Hongtu Zhu, Weili Lin, and J S. Marron. "Local Polynomial Regression for Symmetric Positive Definite Matrices." J R Stat Soc Series B Stat Methodol 74, no. 4 (2012): 697-719.
McClure, Robert K., Martin Styner, Eric Maltbie, Jeffrey A. Lieberman, Sylvain Gouttard, Guido Gerig, Xiaoyan Shi, and Hongtu Zhu. "Localized differences in caudate and hippocampal shape are associated with schizophrenia but not antipsychotic type." Psychiatry Res 211, no. 1 (2013): 1-10.
Boos, Dennis D., and Shannon T. Holloway. logi: Logistic regression using forward selection (R).. 2.0 ed., 2013.
Huang, Jianguo, Mohit Sachdeva, Eric Xu, Timothy J. Robinson, Lixia Luo, Yan Ma, Nerissa T. Williams, Omar Lopez, Lisa D. Cervia, Fan Yuan et al. "The Long Noncoding RNA Promotes Sarcoma Metastasis by Regulating RNA Splicing Pathways." Mol Cancer Res 18, no. 10 (2020): 1534-1544.
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.
Yuan, Ying, John H. Gilmore, Xiujuan Geng, Martin A. Styner, Kehui Chen, Jane-ling Wang, and Hongtu Zhu. "A longitudinal functional analysis framework for analysis of white matter tract statistics." Inf Process Med Imaging 23 (2013): 220-31.
Chen, Yasheng, Hongyu An, Hongtu Zhu, Valerie Jewells, Diane Armao, Dinggang Shen, John H. Gilmore, and Weili Lin. "Longitudinal regression analysis of spatial-temporal growth patterns of geometrical diffusion measures in early postnatal brain development with diffusion tensor imaging." Neuroimage 58, no. 4 (2011): 993-1005.
Liu, Yang, Xiwen Ma, Donghui Zhang, Lijiang Geng, Xiaojing Wang, Wei Zheng, and Ming-Hui Chen. "Look before you leap: systematic evaluation of tree-based statistical methods in subgroup identification." J Biopharm Stat 29, no. 6 (2019): 1082-1102.
M
Ibrahim, Joseph G., and Stuart Lipsitz. Macros for missing data (SAS).., 2014.
Acharya, Chaitanya R., Kouros Owzar, and Andrew S. Allen. "Mapping eQTL by leveraging multiple tissues and DNA methylation." BMC Bioinformatics 18, no. 1 (2017): 455.
Urrutia, Eugene, Hao Chen, Zilu Zhou, Nancy R. Zhang, and Yuchao Jiang. MARATHON: Integrates Multiple Related Statistical Software for Copy Number Profiling and Downstream Analyses (R)., 2018.
Kang, Sangwook, Jianwen Cai, and Lloyd Chambless. "Marginal additive hazards model for case-cohort studies with multiple disease outcomes: an application to the Atherosclerosis Risk in Communities (ARIC) study." Biostatistics 14, no. 1 (2013): 28-41.
Liu, Yanyan, Zhongshang Yuan, Jianwen Cai, and Haibo Zhou. "Marginal hazard regression for correlated failure time data with auxiliary covariates." Lifetime Data Anal 18, no. 1 (2012): 116-38.
Lee, Hana, Michael G. Hudgens, Jianwen Cai, and Stephen R. Cole. "Marginal Structural Cox Models with Case-Cohort Sampling." Stat Sin 26, no. 2 (2016): 509-526.
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, and Dan-Yu Lin. MASS: Meta-analysis of sequencing studies (C).. 5.0 ed., 2013.
Shi, Chengchun, Wenbin Lu, and Rui Song. "A Massive Data Framework for M-Estimators with Cubic-Rate." J Am Stat Assoc 113, no. 524 (2018): 1698-1709.
Shi, Chengchun, Rui Song, Wenbin Lu, and Bo Fu. "Maximin Projection Learning for Optimal Treatment Decision with Heterogeneous Individualized Treatment Effects." J R Stat Soc Series B Stat Methodol 80, no. 4 (2018): 681-702.
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.
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.
Abanto-Valle, Carlos A., Roland Langrock, Ming-Hui Chen, and Michel V. Cardoso. "Maximum likelihood estimation for stochastic volatility in mean models with heavy-tailed distributions." Appl Stoch Models Bus Ind 33, no. 4 (2017): 394-408.
May, Ryan C., Joseph G. Ibrahim, and Haitao Chu. "Maximum likelihood estimation in generalized linear models with multiple covariates subject to detection limits." Stat Med 30, no. 20 (2011): 2551-61.
Zhou, Yi-Hui. mcc: Moment corrected correlation an approximation to exact association testing of two vectors (R).. 1.0 ed., 2014.
Zhao, Luping. Measures of Clinical Benefit in Immuno-Oncology Studies., 2016.
Cao, Hongyuan, Lisa M. LaVange, Joseph F. Heyse, Christopher T Mast, and Michael R. Kosorok. "Medical records-based postmarketing safety evaluation of rare events with uncertain status." J Biopharm Stat 23, no. 1 (2013): 201-12.
Cao, Hongyuan, Lisa M. LaVange, Joseph F. Heyse, Christopher T Mast, and Michael R. Kosorok. "Medical records-based postmarketing safety evaluation of rare events with uncertain status." J Biopharm Stat 23, no. 4 (2013): 744-55.
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.
Chen, Ming-Hui, Joseph G. Ibrahim, Arvind K. Shah, Jianxin Lin, and Hui Yao. "Meta-analysis methods and models with applications in evaluation of cholesterol-lowering drugs." Stat Med 31, no. 28 (2012): 3597-616.
Hu, Yi-Juan, Sonja I. Berndt, Stefan Gustafsson, Andrea Ganna, Joel Hirschhorn, Kari E. North, Erik Ingelsson, and Dan-Yu Lin. "Meta-analysis of gene-level associations for rare variants based on single-variant statistics." Am J Hum Genet 93, no. 2 (2013): 236-48.
Lin, D Y., and D Zeng. "Meta-analysis of genome-wide association studies: no efficiency gain in using individual participant data." Genet Epidemiol 34, no. 1 (2010): 60-6.
Tang, Zheng-Zheng, and Dan-Yu Lin. "Meta-analysis of sequencing studies with heterogeneous genetic associations." Genet Epidemiol 38, no. 5 (2014): 389-401.
Murphy, Susan A.. Micro-Randomized Trials & mHealth., 2014.
Ibrahim, Joseph G., Haitao Chu, and Ming-Hui Chen. "Missing data in clinical studies: issues and methods." J Clin Oncol 30, no. 26 (2012): 3297-303.
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.
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.
Luo, Sheng, Yong Chen, Xiao Su, and Haitao Chu. "mmeta: An R Package for Multivariate Meta-Analysis." J Stat Softw 56, no. 11 (2014): 11.
Luo, Sheng, Yong Chen, Xiao Su, and Haitao Chu. mmeta: Multivariate meta-analysis (R).. 2.2 ed., 2014.
Zou, Baiming, Bo Jin, Gary G. Koch, Haibo Zhou, Stephen E. Borst, Sandeep Menon, and Jonathan J. Shuster. "On model selections for repeated measurement data in clinical studies." Stat Med 34, no. 10 (2015): 1621-33.
Zou, Baiming, Jianwen Cai, Gary G. Koch, Haibo Zhou, and Fei Zou. "A model-based conditional power assessment for decision making in randomized controlled trial studies." Stat Med 36, no. 30 (2017): 4765-4776.
Geng, Yuan, Wenbin Lu, and Hao Helen Zhang. "A Model-Free Machine Learning Method for Risk Classification and Survival Probability Prediction." Stat 3, no. 1 (2014): 337-350.
Rashid, Naim U., Quefeng Li, Jen Jen Yeh, and Joseph G. Ibrahim. "Modeling Between-Study Heterogeneity for Improved Replicability in Gene Signature Selection and Clinical Prediction." J Am Stat Assoc 115, no. 531 (2020): 1125-1138.
Yang, Shu, Anastasios A. Tsiatis, and Michael Blazing. "Modeling survival distribution as a function of time to treatment discontinuation: A dynamic treatment regime approach." Biometrics 74, no. 3 (2018): 900-909.
Su, Lin, Wenbin Lu, and Rui Song. "Modelling and estimation for optimal treatment decision with interference." Stat (Int Stat Inst) 8, no. 1 (2019).
Amorim, Leila D. A. F., and Jianwen Cai. "Modelling recurrent events: a tutorial for analysis in epidemiology." Int J Epidemiol 44, no. 1 (2015): 324-33.
Holloway, Shannon T.. modelObj: A model object framework for regression analysis (R).. 1.0 ed., 2015.
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.
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.
Ahn, Mihye, Hao Helen Zhang, and Wenbin Lu. "MOMENT-BASED METHOD FOR RANDOM EFFECTS SELECTION IN LINEAR MIXED MODELS." Stat Sin 22, no. 4 (2012): 1539-1562.
Kim, S, J Cai, and W Lu. "More efficient estimators for case-cohort studies." Biometrika 100, no. 3 (2013): 695-708.
Chen, Yasheng, Hongtu Zhu, Hongyu An, Diane Armao, Dinggang Shen, John H. Gilmore, and Weili Lin. "More insights into early brain development through statistical analyses of eigen-structural elements of diffusion tensor imaging using multivariate adaptive regression splines." Brain Struct Funct 219, no. 2 (2014): 551-69.
He, Qianchuan, and Dan-Yu Lin. MOST: Multivariate outcome score test (C).. 1.0 ed., 2013.
Psioda, Matthew, and Joseph G. Ibrahim. MultiARMSBinary: Simulates Bayes adaptive randomization of multiple arms in a beta-binomial simulation (SAS).., 2016.
Zhang, Chong, and Yufeng Liu. "Multicategory angle-based large-margin classification." Biometrika 101, no. 3 (2014): 625-640.
Li, Jialiang, Binyan Jiang, and Jason P. Fine. "Multicategory reclassification statistics for assessing improvements in diagnostic accuracy." Biostatistics 14, no. 2 (2013): 382-94.
Lizotte, Daniel J., and Eric B. Laber. "Multi-Objective Markov Decision Processes for Data-Driven Decision Support." J Mach Learn Res 17 (2016).
Zhao, Yue, Amy H. Herring, Haibo Zhou, Mirza W. Ali, and Gary G. Koch. "A multiple imputation method for sensitivity analyses of time-to-event data with possibly informative censoring." J Biopharm Stat 24, no. 2 (2014): 229-53.
Shortreed, Susan M., Eric Laber, Scott T Stroup, Joelle Pineau, and Susan A. Murphy. "A multiple imputation strategy for sequential multiple assignment randomized trials." Stat Med 33, no. 24 (2014): 4202-14.
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.
Sohn, Insuk, Kouros Owzar, Johan Lim, Stephen L. George, Stephanie Mackey Cushman, and Sin-Ho Jung. "Multiple testing for gene sets from microarray experiments." BMC Bioinformatics 12 (2011): 209.
Xie, Jichun. Multiple Testing of General Dependence by Quantile-Based Contingency Tables with an Application in Identifying Gene Co-expression Network Change Associated with Cancer Survival., 2016.
Michiels, Stefan, Richard F. Potthoff, and Stephen L. George. "Multiple testing of treatment-effect-modifying biomarkers in a randomized clinical trial with a survival endpoint." Stat Med 30, no. 13 (2011): 1502-18.
Maitra, Poulami, Leila D. A. F. Amorim, and Jianwen Cai. "Multiplicative rates model for recurrent events in case-cohort studies." Lifetime Data Anal 26, no. 1 (2020): 134-157.

Pages