Publications

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Li, Hao, Ming-Hui Chen, Joseph G. Ibrahim, Sungduk Kim, Arvind K. Shah, Jianxin Lin, and Andrew M. Tershakovec. "Bayesian inference for network meta-regression using multivariate random effects with applications to cholesterol lowering drugs." Biostatistics 20, no. 3 (2019): 499-516.
Li, Jialiang, and Jason P. Fine. "Weighted Area Under the Receiver Operating Characteristic Curve and Its Application to Gene Selection." J R Stat Soc Ser C Appl Stat 59, no. 4 (2010): 673-692.
Li, Meng, Ana-Maria Staicu, and Howard D. Bondell. "Incorporating covariates in skewed functional data models." Biostatistics 16, no. 3 (2015): 413-26.
Li, Wentao, Wenjie Liu, Ayano Kakoki, Rujin Wang, Ogun Adebali, Yuchao Jiang, and Aziz Sancar. "Nucleotide excision repair capacity increases during differentiation of human embryonic carcinoma cells into neurons and muscle cells." J Biol Chem 294, no. 15 (2019): 5914-5922.
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.
Li, Meng, Ana-Maria Staicu, and Howard D. Bondell. cSFM: Covariate-adjusted skewed functional model (R).. 1.1 ed., 2014.
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.
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.
Liang, Shuhan, Wenbin Lu, Rui Song, and Lan Wang. "Sparse concordance-assisted learning for optimal treatment decision." J Mach Learn Res 18 (2018).
Lin, Feng-Chang, Jianwen Cai, Jason P. Fine, and Huichuan J. Lai. "Nonparametric estimation of the mean function for recurrent event data with missing event category." Biometrika 100, no. 3 (2013).
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.
Lin, Jiaxing, Alexander Sibley, Ivo Shterev, Andrew Nixon, Federico Innocenti, Cliburn Chan, and Kouros Owzar. "fastJT: An R package for robust and efficient feature selection for machine learning and genome-wide association studies." BMC Bioinformatics 20, no. 1 (2019): 333.
Lin, Jiaxing, Alexander Sibley, Ivo D. Shterev, and Kouros Owzar. jtGWAS: Efficient Jonckheere-Terpstra test statistics (R).. 1.0 ed., 2016.
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, Jiaxing, Jeremy Gresham, Tongrong Wang, So Young Kim, James Alvarez, Jeffrey S. Damrauer, Scott Floyd, Joshua Granek, Andrew Allen, Cliburn Chan et al. "bcSeq: an R package for fast sequence mapping in high-throughput shRNA and CRISPR screens." Bioinformatics 34, no. 20 (2018): 3581-3583.
Lin, Jiaxing, Yuan Wu, Xiaofei F. Wang, and Kouros Owzar. intcensROC: Fast Spline Function Based Constrained Maximum Likelihood Estimator for AUC Estimation of Interval Censored Survival Data (R). 0.1.1 ed., 2018.
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.
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.
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.
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.
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.
Lin, Jiaxing, Alexander Sibley, Tracy Truong, Kouros Owzar, and Zhiguo Li. groupedSurv: Efficient Estimation of Grouped Survival Models Using the Exact Likelihood Function (R). 1.0.0 ed., 2018.
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.
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.
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, Chen-Yen, Howard Bondell, Hao Helen Zhang, and Hui Zou. "Variable Selection for Nonparametric Quantile Regression via Smoothing Spline AN OVA." Stat 2, no. 1 (2013): 255-268.
Lin, Ja-an, Hongtu Zhu, Ahn Mihye, Wei Sun, and Joseph G. Ibrahim. "Functional-mixed effects models for candidate genetic mapping in imaging genetic studies." Genet Epidemiol 38, no. 8 (2014): 680-91.
Lin, Lifeng, Jing Zhang, and Haitao Chu. pcnetmeta: Methods for patient-centered network meta-analysis (R).. 1.2 ed., 2014.
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.
Lin, Jiaxing, Alexander Sibley, Ivo D. Shterev, and Kouros Owzar. fastJT: Efficient Jonckheere-Terpstra Test Statistics for Robust Machine Learning and Genome-Wide Association Studies (R). 1.0.4 ed., 2017.
Lin, Dan-Yu, and Zheng-Zheng Tang. "A general framework for detecting disease associations with rare variants in sequencing studies." Am J Hum Genet 89, no. 3 (2011): 354-67.
Line, Danyu, Donglin Zeng, and Shannon T. Holloway. DOVE: Durability of Vaccine Efficacy. v1.2 ed., 2021.
Linn, Kristin A., Eric B. Laber, and Leonard A. Stefanski. iqLearn: Interactive Q-learning (R).., 2013.
Linn, Kristin A.. IQ-Learning., 2012.
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.
Linn, Kristin A., Eric B. Laber, and Leonard A. Stefanski. "Estimation of dynamic treatment regimes for complex outcomes: Balancing benefits and risks." In Adaptive Treatment Strategies in Practice: Planning Trials and Analyzing Data for Personalized Medicine, 249-262. Philadelphia: ASA-SIAM, 2016.
Linn, Kristin A., Eric B. Laber, and Leonard A. Stefanski. "iqLearn: Interactive Q-Learning in R." J Stat Softw 64, no. 1 (2015).
Little, Paul, Dan-Yu Lin, and Wei Sun. "Associating somatic mutations to clinical outcomes: a pan-cancer study of survival time." Genome Med 11, no. 1 (2019): 37.
Liu, Zhongkai, Rui Song, Donglin Zeng, and Jiajia Zhang. "Principal Components Adjusted Variable Screening." Comput Stat Data Anal 110 (2017): 134-144.
Liu, Ying, Yuanjia Wang, and Donglin Zeng. "Sequential multiple assignment randomization trials with enrichment design." Biometrics 73, no. 2 (2017): 378-390.
Liu, Yufeng, Yichao Wu, and Qinying He. "Utility-based Weighted Multicategory Robust Support Vector Machines." Stat Interface 3, no. 4 (2010): 465-476.
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.
Liu, Yang, Guanyu Hu, Lei Cao, Xiaojing Wang, and Ming-Hui Chen. "A Comparison of Monte Carlo Methods for Computing Marginal Likelihoods of Item Response Theory Models." J Korean Stat Soc 48, no. 4 (2019): 503-512.
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.
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.
Liu, Bo, Wenbin Lu, and Jiajia Zhang. "Accelerated intensity frailty model for recurrent events data." Biometrics 70, no. 3 (2014): 579-87.
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.
Liu, Yang, Qianchuan He, and Wei Sun. "Association analysis using somatic mutations." PLoS Genet 14, no. 11 (2018): e1007746.
Liu, Yulun, Yong Chen, and Haitao Chu. "A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard." Biometrics 71, no. 2 (2015): 538-47.
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.
Liu, Ying, Yuanjia Wang, and Donglin Zeng. DTRlearn: Learning Algorithms for Dynamic Treatment Regimes (R). 1.3 ed., 2018.
Liu, Yufeng, Hao Helen Zhang, and Yichao Wu. "Hard or Soft Classification? Large-margin Unified Machines." J Am Stat Assoc 106, no. 493 (2011): 166-177.
Liu, Yang, Wei Sun, and Qianchuan He. SAME: Somatic mutation Association test with Measurement Errors (R)., 2018.
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.
Lizotte, Daniel J., and Eric B. Laber. "Multi-Objective Markov Decision Processes for Data-Driven Decision Support." J Mach Learn Res 17 (2016).
Love, Michael I., Charlotte Soneson, and Rob Patro. "Swimming downstream: statistical analysis of differential transcript usage following Salmon quantification." F1000Res 7 (2018): 952.
Love, Michael I., Charlotte Soneson, Peter F. Hickey, Lisa K. Johnson, Tessa N Pierce, Lori Shepherd, Martin Morgan, and Rob Patro. "Tximeta: Reference sequence checksums for provenance identification in RNA-seq." PLoS Comput Biol 16, no. 2 (2020): e1007664.
Lu, Wenbin, Hao Helen Zhang, and Donglin Zeng. "Variable selection for optimal treatment decision." Stat Methods Med Res 22, no. 5 (2013): 493-504.
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.
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.
Lu, Zhao-Hua, Zakaria Khondker, Joseph G. Ibrahim, Yue Wang, and Hongtu Zhu. "Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studies." Neuroimage 149 (2017): 305-322.
Lu, Tsui-Shan, Matthew P. Longnecker, and Haibo Zhou. "Statistical inferences for data from studies conducted with an aggregated multivariate outcome-dependent sample design." Stat Med 36, no. 6 (2017): 985-997.
Luckett, Daniel J., Eric B. Laber, Anna R. Kahkoska, David M. Maahs, Elizabeth Mayer-Davis, and Michael R. Kosorok. "Estimating Dynamic Treatment Regimes in Mobile Health Using V-learning." J Am Stat Assoc 115, no. 530 (2020): 692-706.
Luckett, Daniel J., Eric B. Laber, Samer S. El-Kamary, Cheng Fan, Ravi Jhaveri, Charles M. Perou, Fatma M. Shebl, and Michael R. Kosorok. "Receiver operating characteristic curves and confidence bands for support vector machines." Biometrics 77, no. 4 (2021): 1422-1430.
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, S, R Song, M Styner, J H. Gilmore, and H Zhu. "FSEM: Functional Structural Equation Models for Twin Functional Data." J Am Stat Assoc 114, no. 525 (2019): 344-357.
Luo, Yiwen, Arnab Maity, Michael C. Wu, Chris Smith, Qing Duan, Yun Li, and Jung-Ying Tzeng. "On the substructure controls in rare variant analysis: Principal components or variance components?" Genet Epidemiol 42, no. 3 (2018): 276-287.
Luo, Sheng, Yong Chen, Xiao Su, and Haitao Chu. mmeta: Multivariate meta-analysis (R).. 2.2 ed., 2014.
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Ma, Xiaoye, Muhammad Fareed K. Suri, and Haitao Chu. "A trivariate meta-analysis of diagnostic studies accounting for prevalence and non-evaluable subjects: re-evaluation of the meta-analysis of coronary CT angiography studies." BMC Med Res Methodol 14 (2014): 128.
Ma, Xiaoye, Yong Chen, Stephen R. Cole, and Haitao Chu. "A hybrid Bayesian hierarchical model combining cohort and case-control studies for meta-analysis of diagnostic tests: Accounting for partial verification bias." Stat Methods Med Res 25, no. 6 (2016): 3015-3037.
Ma, Guoguang Julie, Eric Chi, Joseph G. Ibrahim, and Robert A. Parker. "Assessing Similarity to Existing Drugs to Decide Whether to Continue Drug Development." Stat Biopharm Res 4, no. 3 (2012): 293-300.
Ma, Shuangge, Michael R. Kosorok, Jian Huang, and Ying Dai. "Incorporating higher-order representative features improves prediction in network-based cancer prognosis analysis." BMC Med Genomics 4 (2011): 5.
Ma, Xiaoye, Lei Nie, Stephen R. Cole, and Haitao Chu. "Statistical methods for multivariate meta-analysis of diagnostic tests: An overview and tutorial." Stat Methods Med Res 25, no. 4 (2016): 1596-619.
Madar, V. Faster algorithm to control the Benjamini-Hochberg false discovery rate and its application for analysis of huge genomic data.., 2014.
Madigan, D. Drug safety in spontaneous reports, observational databases, and clinical trials: Can we do better?., 2011.
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.
Maity, Arnab, Patrick F. Sullivan, and Jun-Ying Tzeng. "Multivariate phenotype association analysis by marker-set kernel machine regression." Genet Epidemiol 36, no. 7 (2012): 686-95.
Maity, Arnab, Jing Zhao, Patrick F. Sullivan, and Jung-Ying Tzeng. "Inference on phenotype-specific effects of genes using multivariate kernel machine regression." Genet Epidemiol 42, no. 1 (2018): 64-79.
Mao, Lu, and D Y. Lin. "Efficient Estimation of Semiparametric Transformation Models for the Cumulative Incidence of Competing Risks." J R Stat Soc Series B Stat Methodol 79, no. 2 (2017): 573-587.
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.
Mao, Lu, Dan-Yu Lin, and Donglin Zeng. "Semiparametric regression analysis of interval-censored competing risks data." Biometrics 73, no. 3 (2017): 857-865.
Marceau, Rachel, Wenbin Lu, Shannon Holloway, Michèle M. Sale, Bradford B. Worrall, Stephen R. Williams, Fang-Chi Hsu, and Jung-Ying Tzeng. "A Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction." Genet Epidemiol 39, no. 6 (2015): 456-68.
Marceau, Rachel, Wenbin Lu, Michèle M. Sale, Bradford B. Worrall, Stephen R. Williams, Fang-Chi Hsu, Jung-Ying Tzeng, and Shannon T. Holloway. FastKM: A fast multiple-kernel method based on a low-rank approximation (R).. 1.0 ed., 2015.
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.
Mathur, Ravi, Daniel Rotroff, Jun Ma, Ali Shojaie, and Alison Motsinger-Reif. "Gene set analysis methods: a systematic comparison." BioData Min 11 (2018): 8.
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.
McCabe, Sean D., Dan-Yu Lin, and Michael I. Love. "Consistency and overfitting of multi-omics methods on experimental data." Brief Bioinform 21, no. 4 (2020): 1277-1284.
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.
McLeod, Howard L.. "Cancer pharmacogenomics: early promise, but concerted effort needed." Science 339, no. 6127 (2013): 1563-6.
Mentz, Robert J., Phillip J. Schulte, Jerome L. Fleg, Mona Fiuzat, William E. Kraus, Ileana L. Piña, Steven J. Keteyian, Dalane W. Kitzman, David J. Whellan, Stephen J. Ellis et al. "Clinical characteristics, response to exercise training, and outcomes in patients with heart failure and chronic obstructive pulmonary disease: findings from Heart Failure and A Controlled Trial Investigating Outcomes of Exercise TraiNing (HF-ACTION)." Am Heart J 165, no. 2 (2013): 193-9.
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.
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.
Milanzi, Elasma, Geert Molenberghs, Ariel Alonso, Michael G. Kenward, Geert Verbeke, Anastasios A. Tsiatis, and Marie Davidian. "Properties of Estimators in Exponential Family Settings with Observation-based Stopping Rules." J Biom Biostat 7, no. 1 (2016).
Milanzi, Elasma, Geert Molenberghs, Ariel Alonso, Michael G. Kenward, Anastasios A. Tsiatis, Marie Davidian, and Geert Verbeke. "Estimation After a Group Sequential Trial." Stat Biosci 7, no. 2 (2015): 187-205.
Minsker, Stanislav, Ying-Qi Zhao, and Guang Cheng. "Active Clinical Trials for Personalized Medicine." J Am Stat Assoc 111, no. 514 (2016): 875-887.
Miranda, Michelle F., Hongtu Zhu, and Joseph G. Ibrahim. "Bayesian spatial transformation models with applications in neuroimaging data." Biometrics 69, no. 4 (2013): 1074-83.
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.
Molenberghs, Geert, Michael G. Kenward, Marc Aerts, Geert Verbeke, Anastasios A. Tsiatis, Marie Davidian, and Dimitris Rizopoulos. "On random sample size, ignorability, ancillarity, completeness, separability, and degeneracy: sequential trials, random sample sizes, and missing data." Stat Methods Med Res 23, no. 1 (2014): 11-41.
Murphy, Susan A.. Micro-Randomized Trials & mHealth., 2014.

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