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Luo, Sheng, Yong Chen, Xiao Su, and Haitao Chu. mmeta: Multivariate meta-analysis (R).. 2.2 ed., 2014.
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, 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, Sheng, Yong Chen, Xiao Su, and Haitao Chu. "mmeta: An R Package for Multivariate Meta-Analysis." J Stat Softw 56, no. 11 (2014): 11.
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.
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, Wenbin, Hao Helen Zhang, and Donglin Zeng. "Variable selection for optimal treatment decision." Stat Methods Med Res 22, no. 5 (2013): 493-504.
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, 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, 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.
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.
Love, Michael I., Charlotte Soneson, and Rob Patro. "Swimming downstream: statistical analysis of differential transcript usage following Salmon quantification." F1000Res 7 (2018): 952.
Lizotte, Daniel J., and Eric B. Laber. "Multi-Objective Markov Decision Processes for Data-Driven Decision Support." J Mach Learn Res 17 (2016).
Liu, Ying, Yuanjia Wang, and Donglin Zeng. "Sequential multiple assignment randomization trials with enrichment design." Biometrics 73, no. 2 (2017): 378-390.
Liu, Bo, Wenbin Lu, and Jiajia Zhang. "Accelerated intensity frailty model for recurrent events data." Biometrics 70, no. 3 (2014): 579-87.
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, Qianchuan He, and Wei Sun. "Association analysis using somatic mutations." PLoS Genet 14, no. 11 (2018): e1007746.
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, 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, 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, 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, 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, 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.
Liu, Yang, Wei Sun, and Qianchuan He. SAME: Somatic mutation Association test with Measurement Errors (R)., 2018.
Liu, Zhongkai, Rui Song, Donglin Zeng, and Jiajia Zhang. "Principal Components Adjusted Variable Screening." Comput Stat Data Anal 110 (2017): 134-144.
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, Yufeng, Yichao Wu, and Qinying He. "Utility-based Weighted Multicategory Robust Support Vector Machines." Stat Interface 3, no. 4 (2010): 465-476.
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, and Donglin Zeng. DTRlearn: Learning Algorithms for Dynamic Treatment Regimes (R). 1.3 ed., 2018.
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.
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. "Interactive Q-learning for Quantiles." J Am Stat Assoc 112, no. 518 (2017): 638-649.
Linn, Kristin A.. IQ-Learning., 2012.
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 (R).., 2013.
Line, Danyu, Donglin Zeng, and Shannon T. Holloway. DOVE: Durability of Vaccine Efficacy. v1.2 ed., 2021.
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, 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, 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, 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, Lifeng, Jing Zhang, and Haitao Chu. pcnetmeta: Methods for patient-centered network meta-analysis (R).. 1.2 ed., 2014.
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, 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, 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, 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, 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, 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 Zheng-Zheng Tang. SCORE-SeqTDS: Score tests for sequencing studies with trait-dependent sampling (C).. 3.0 ed., 2013.
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, 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, 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, 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. SCORE-Seq: Score tests for detecting disease associations with rare variants in sequencing studies (C).. 5.0 ed., 2013.
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.
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, 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. "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, Ivo D. Shterev, and Kouros Owzar. jtGWAS: Efficient Jonckheere-Terpstra test statistics (R).. 1.0 ed., 2016.
Liang, Shuhan, Wenbin Lu, Rui Song, and Lan Wang. "Sparse concordance-assisted learning for optimal treatment decision." J Mach Learn Res 18 (2018).
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, and Rui Song. "Deep advantage learning for optimal dynamic treatment regime." Stat Theory Relat Fields 2, no. 1 (2018): 80-88.
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.
Li, Jialiang, and Jason P. Fine. "Assessing the dependence of sensitivity and specificity on prevalence in meta-analysis." Biostatistics 12, no. 4 (2011): 710-22.
Li, Xiang, Anastasia Ivanova, Hong Tian, Pilar Lim, and Kevin Liu. "Continual reassessment method with regularization in phase I clinical trials." J Biopharm Stat 30, no. 6 (2020): 964-978.
Li, Meng, Ana-Maria Staicu, and Howard D. Bondell. cSFM: Covariate-adjusted skewed functional model (R).. 1.1 ed., 2014.
Li, Jialiang, Binyan Jiang, and Jason P. Fine. "Multicategory reclassification statistics for assessing improvements in diagnostic accuracy." Biostatistics 14, no. 2 (2013): 382-94.
Li, Zhiguo, Jiaxing Lin, Alexander B. Sibley, Tracy Truong, Katherina C. Chua, Yu Jiang, Janice McCarthy, Deanna L. Kroetz, Andrew Allen, and Kouros Owzar. "Efficient estimation of grouped survival models." BMC Bioinformatics 20, no. 1 (2019): 269.
Li, Wenqing, Ming-Hui Chen, Xiaojing Wangy, and Dipak K. Dey. "Bayesian Design of Non-Inferiority Clinical Trials via the Bayes Factor." Stat Biosci 10, no. 2 (2018): 439-459.
Li, Zhiguo, Marcia Valenstein, Paul Pfeiffer, and Dara Ganoczy. "A global logrank test for adaptive treatment strategies based on observational studies." Stat Med 33, no. 5 (2014): 760-71.
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.
Li, Yimei, John H. Gilmore, Dinggang Shen, Martin Styner, Weili Lin, and Hongtu Zhu. "Multiscale adaptive generalized estimating equations for longitudinal neuroimaging data." Neuroimage 72 (2013): 91-105.
Li, Yimei, John H. Gilmore, Jiaping Wang, Martin Styner, Weili Lin, and Hongtu Zhu. "TwinMARM: two-stage multiscale adaptive regression methods for twin neuroimaging data." IEEE Trans Med Imaging 31, no. 5 (2012): 1100-12.
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, 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, Zhiguo, and Kouros Owzar. "Fitting Cox Models with Doubly Censored Data Using Spline-Based Sieve Marginal Likelihood." Scand Stat Theory Appl 43, no. 2 (2016): 476-486.
Li, Zhiguo. Fitting Cox models with doubly censored data using spline-based marginal likelihood., 2011.
Li, Yimei, Hongtu Zhu, Dinggang Shen, Weili Lin, John H. Gilmore, and Joseph G. Ibrahim. "Multiscale Adaptive Regression Models for Neuroimaging Data." J R Stat Soc Series B Stat Methodol 73, no. 4 (2011): 559-578.
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, 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, Zhiguo. "Comparison of adaptive treatment strategies based on longitudinal outcomes in sequential multiple assignment randomized trials." Stat Med 36, no. 3 (2017): 403-415.
Li, Jialiang, Andrew Xiaohua Zhou, and Jason P. Fine. "A regression approach to ROC surface, with applications to Alzheimer's disease." Sci China Math 55, no. 8 (2012): 1583-1595.
Li, Jialiang, and Jason P. Fine. "Weighted area under the receiver operating characteristic curve and its application to gene selection." Journal of the Royal Statistical Society: Series C (Applied Statistics) (2010).
Li, Meng, Ana-Maria Staicu, and Howard D. Bondell. "Incorporating covariates in skewed functional data models." Biostatistics 16, no. 3 (2015): 413-26.
Li, Tengfei, Fengchang Xie, Xiangnan Feng, Joseph G. Ibrahim, and Hongtu Zhu. "Functional Linear Regression Models for Nonignorable Missing Scalar Responses." Stat Sin 28, no. 4 (2018): 1867-1886.
Lewis, Paul O.. Galax (C++)., 2016.
Lewis, Paul O., Ming-Hui Chen, Lynn Kuo, Louise A. Lewis, Karolina Fučíková, Suman Neupane, Yu-Bo Wang, and Daoyuan Shi. "Estimating Bayesian Phylogenetic Information Content." Syst Biol 65, no. 6 (2016): 1009-1023.
Levenson, M. Safety decision-making with multiple sources and different types of studies—recent examples from FDA Advisory Committees., 2011.
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.
Lee, Eunjee, Hongtu Zhu, Dehan Kong, Yalin Wang, Kelly Sullivan Giovanello, and Joseph G. Ibrahim. "BFLCRM: A BAYESIAN FUNCTIONAL LINEAR COX REGRESSION MODEL FOR PREDICTING TIME TO CONVERSION TO ALZHEIMER'S DISEASE." Ann Appl Stat 9, no. 4 (2015): 2153-2178.
Lee, Wonyul, and Yufeng Liu. "Joint Estimation of Multiple Precision Matrices with Common Structures." J Mach Learn Res 16 (2015): 1035-1062.
Lee, Mei-Hsien, Jung-Ying Tzeng, Su-Yun Huang, and Chuhsing Kate Hsiao. "Combining an evolution-guided clustering algorithm and haplotype-based LRT in family association studies." BMC Genet 12 (2011): 48.
Leão, William L., Carlos A. Abanto-Valle, and Ming-Hui Chen. "Bayesian analysis of stochastic volatility-in-mean model with leverage and asymmetrically heavy-tailed error using generalized hyperbolic skew Student's t-distribution." Stat Interface 10 (2017): 529-541.
Lawson, Michael T., Hunyong Cho, Arkopal Choudhury, Yifan Cui, Xiaotong Jiang, Teeranan Pokaprakarn, and Michael R. Kosorok. "Discussion of Laber et al. "Optimal treatment allocations in space and time for on-line control of an emerging infectious disease"." J R Stat Soc Ser C Appl Stat 67, no. 4 (2018): 779-780.
Lachos, Victor H., Larissa A. Matos, Luis M. Castro, and Ming-Hui Chen. "Flexible longitudinal linear mixed models for multiple censored responses data." Stat Med 38, no. 6 (2019): 1074-1102.
Lachos, Victor H., Ming-Hui Chen, Carlos A. Abanto-Valle, and Caio L. N. Azevedo. "Quantile regression for censored mixed-effects models with applications to HIV studies." Stat Interface 8, no. 2 (2015): 203-215.
Laber, Eric B., and Kerby Shedden. "Statistical Significance and the Dichotomization of Evidence: The Relevance of the for Statisticians." J Am Stat Assoc 112, no. 519 (2017): 902-904.
Laber, E B., and Y Q. Zhao. "Tree-based methods for individualized treatment regimes." Biometrika 102, no. 3 (2015): 501-514.
Laber, Eric B., Nick J. Meyer, Brian J. Reich, Krishna Pacifici, Jaime A. Collazo, and John M. Drake. "Optimal treatment allocations in space and time for on-line control of an emerging infectious disease." J R Stat Soc Ser C Appl Stat 67, no. 4 (2018): 743-770.
Laber, Eric B., Anastasios A. Tsiatis, Marie Davidian, and Shannon T. Holloway. "Discussion of "Combining biomarkers to optimize patient treatment recommendation"." Biometrics 70, no. 3 (2014): 707-10.