Publications

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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.
Dasgupta, Sayan, Yair Goldberg, and Michael R. Kosorok. "FEATURE ELIMINATION IN KERNEL MACHINES IN MODERATELY HIGH DIMENSIONS." Ann Stat 47, no. 1 (2019): 497-526.
Jiang, Yu, Yujun Han, Slavé Petrovski, Kouros Owzar, David B. Goldstein, and Andrew S. Allen. fitDNM: Test of de novo enrichment that incorporates functional information (R).. 1.0 ed., 2015.
Psioda, Matthew, and Joseph G. Ibrahim. fitRE: Bayesian superiority design for gamma frailty recurrent events model (SAS).., 2016.
Li, Zhiguo. Fitting Cox models with doubly censored data using spline-based marginal likelihood., 2011.
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.
Chow, Sy-Miin, Zhaohua Lu, Andrew Sherwood, and Hongtu Zhu. "Fitting Nonlinear Ordinary Differential Equation Models with Random Effects and Unknown Initial Conditions Using the Stochastic Approximation Expectation-Maximization (SAEM) Algorithm." Psychometrika 81, no. 1 (2016): 102-34.
Ibrahim, Joseph G., Hongtu Zhu, Ramon I. Garcia, and Ruixin Guo. "Fixed and random effects selection in mixed effects models." Biometrics 67, no. 2 (2011): 495-503.
Ibrahim, Joseph G., Hongtu Zhu, Ramon I. Garcia, and Ruixin Guo. Fixed and random effects selection in mixed effects toolkit (R).., 2011.
Ibrahim, Joseph G., Ming-Hui Chen, Amy H Xia, and Thomas Liu. Fixed: Bayesian meta-experimental design (SAS).., 2012.
Kong, Dehan, Joseph G. Ibrahim, Eunjee Lee, and Hongtu Zhu. "FLCRM: Functional linear cox regression model." Biometrics 74, no. 1 (2018): 109-117.
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.
Chen, Liddy M., Joseph G. Ibrahim, and Haitao Chu. "Flexible stopping boundaries when changing primary endpoints after unblinded interim analyses." J Biopharm Stat 24, no. 4 (2014): 817-33.
Yuan, Ying, John H. Gilmore, Xiujuan Geng, Styner Martin, Kehui Chen, Jane-ling Wang, and Hongtu Zhu. "FMEM: functional mixed effects modeling for the analysis of longitudinal white matter Tract data." Neuroimage 84 (2014): 753-64.
Bhattacharya, Arjun, Montserrat García-Closas, Andrew F. Olshan, Charles M. Perou, Melissa A. Troester, and Michael I. Love. "A framework for transcriptome-wide association studies in breast cancer in diverse study populations." Genome Biol 21, no. 1 (2020): 42.
Carpenter, William R., Anne-Marie Meyer, Amy P. Abernethy, Til Stürmer, and Michael R. Kosorok. "A framework for understanding cancer comparative effectiveness research data needs." J Clin Epidemiol 65, no. 11 (2012): 1150-8.
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.
Crews, Hugh B., Dennis D. Boos, and Leonard A. Stefanski. "FSR Methods for Second-Order Regression Models." Comput Stat Data Anal 55, no. 6 (2011): 2026-2037.
Laber, Eric B., and Ana-Maria Staicu. "Functional feature construction for individualized treatment regimes." J Am Stat Assoc 113, no. 523 (2017): 1219-1227.
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.
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.
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Lewis, Paul O.. Galax (C++)., 2016.
Pang, Herbert, Stephen L. George, Ken Hui, and Tiejun Tong. "Gene selection using iterative feature elimination random forests for survival outcomes." IEEE/ACM Trans Comput Biol Bioinform 9, no. 5 (2012): 1422-31.
Mathur, Ravi, Daniel Rotroff, Jun Ma, Ali Shojaie, and Alison Motsinger-Reif. "Gene set analysis methods: a systematic comparison." BioData Min 11 (2018): 8.
Tzeng, Jung-Ying, Wenbin Lu, and Fang-Chi Hsu. "GENE-LEVEL PHARMACOGENETIC ANALYSIS ON SURVIVAL OUTCOMES USING GENE-TRAIT SIMILARITY REGRESSION." Ann Appl Stat 8, no. 2 (2014): 1232-1255.
He, Qianchuan, Christy L. Avery, and Dan-Yu Lin. "A general framework for association tests with multivariate traits in large-scale genomics studies." Genet Epidemiol 37, no. 8 (2013): 759-67.
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, 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.
Hu, Y J., D Y. Lin, and D Zeng. "A general framework for studying genetic effects and gene-environment interactions with missing data." Biostatistics 11, no. 4 (2010): 583-98.
Cruz-Garcia, Lourdes, Grainne O'Brien, Botond Sipos, Simon Mayes, Michael I. Love, Daniel J. Turner, and Christophe Badie. "Generation of a Transcriptional Radiation Exposure Signature in Human Blood Using Long-Read Nanopore Sequencing." Radiat Res 193, no. 2 (2020): 143-154.
Pang, Herbert. geneSelRSF: Gene selection using iterative recursive feature elimination (R).. 1.0 ed., 2012.
Wojcik, Genevieve L., Mariaelisa Graff, Katherine K. Nishimura, Ran Tao, Jeffrey Haessler, Christopher R. Gignoux, Heather M. Highland, Yesha M. Patel, Elena P. Sorokin, Christy L. Avery et al. "Genetic analyses of diverse populations improves discovery for complex traits." Nature 570, no. 7762 (2019): 514-518.
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.
Innocenti, Federico, Chen Jiang, Alexander B. Sibley, Amy S. Etheridge, Ace J. Hatch, Stefanie Denning, Donna Niedzwiecki, Ivo D. Shterev, Jiaxing Lin, Yoichi Furukawa et al. "Genetic variation determines VEGF-A plasma levels in cancer patients." Sci Rep 8, no. 1 (2018): 16332.
Tzeng, Jung-Ying. A gene-trait similarity regression method for gene-level pharmacogenetics analysis., 2011.
Yazdani, Azam, Akram Yazdani, Sarah H. Elsea, Daniel J. Schaid, Michael R. Kosorok, Gita Dangol, and Ahmad Samiei. "Genome analysis and pleiotropy assessment using causal networks with loss of function mutation and metabolomics." BMC Genomics 20, no. 1 (2019): 395.
"Genome-wide association study identifies five new schizophrenia loci." Nat Genet 43, no. 10 (2011): 969-76.
R Baldwin, Michael, Kouros Owzar, Hitoshi Zembutsu, Aparna Chhibber, Michiaki Kubo, Chen Jiang, Dorothy Watson, Rachel J. Eclov, Joel Mefford, Howard L. McLeod et al. "A genome-wide association study identifies novel loci for paclitaxel-induced sensory peripheral neuropathy in CALGB 40101." Clin Cancer Res 18, no. 18 (2012): 5099-109.
Chua, Katherina C., Chenling Xiong, Carol Ho, Taisei Mushiroda, Chen Jiang, Flora Mulkey, Dongbing Lai, Bryan P. Schneider, Sara R. Rashkin, John S. Witte et al. "Genomewide Meta-Analysis Validates a Role for S1PR1 in Microtubule Targeting Agent-Induced Sensory Peripheral Neuropathy." Clin Pharmacol Ther 108, no. 3 (2020): 625-634.
Chi, Eric. Getting High-throughput Arrays in Order with Convex Biclustering., 2016.
Almirall, D, and Susan A. Murphy. Getting SMART about developing individualized sequences of health interventions., 2012.
Ha, Min Jin, and Shannon T. Holloway. GGMridge: Gaussian graphical models using ridge penalty followed by thresholding and reestimation (R).. 1.0 ed., 2016.
Diao, Guoqing. GHREG: Semiparametric general hazards rate model for right-censored data (C).., 2013.
Wang, Xuefeng, Mengjie Chen, Xiaoqing Yu, Natapol Pornputtapong, Hao Chen, Nancy R. Zhang, Scott R Powers, and Michael Krauthammer. "Global copy number profiling of cancer genomes." Bioinformatics 32, no. 6 (2016): 926-8.
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.
Todem, D, J Fine, and L Peng. "A global sensitivity test for evaluating statistical hypotheses with nonidentifiable models." Biometrics 66, no. 2 (2010): 558-66.
Hidalgo, Sebastian J. Teran, Michael C. Wu, Stephanie M. Engel, and Michael R. Kosorok. "Goodness-Of-Fit Test for Nonparametric Regression Models: Smoothing Spline ANOVA Models as Example." Comput Stat Data Anal 122 (2018): 135-155.
Zhou, Jie, Jiajia Zhang, and Wenbin Lu. GORCure: Fit Generalized Odds Rate Mixture Cure Model with Interval Censored Data (R)., 2017.
Zhu, Ruoqing, Ying-Qi Zhao, Guanhua Chen, Shuangge Ma, and Hongyu Zhao. "Greedy outcome weighted tree learning of optimal personalized treatment rules." Biometrics 73, no. 2 (2017): 391-400.
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.
He, Qianchuan, and Dan-Yu Lin. GWASelect: A variable selection method for genomewide association studies (C++).., 2011.
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Bondell, Howard D., Jung-Ying Tzeng, Megan L. Koehler, and Shannon T. Holloway. Haplo.CasGLM: Haplotype specific simultaneous factor selection and collapsing levels in GLM (R).. 3rd ed., 2013.
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.
Zhu, Anqi, Joseph G. Ibrahim, and Michael I. Love. "Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differences." Bioinformatics 35, no. 12 (2019): 2084-2092.
Shi, Chengchun, Alin Fan, Rui Song, and Wenbin Lu. "HIGH-DIMENSIONAL A-LEARNING FOR OPTIMAL DYNAMIC TREATMENT REGIMES." Ann Stat 46, no. 3 (2018): 925-957.
X Jeng, Jessie, Wenbin Lu, and Huimin Peng. "High-Dimensional Inference for Personalized Treatment Decision." Electron J Stat 12, no. 1 (2018): 2074-2089.
Cao, Hongyuan, Michael R. Kosorok, and Shannon T. Holloway. highTtest: Simultaneous critical values for t-tests in very high dimensions (R).. 1.0 ed., 2014.
Gou, J, and AC Tamhane. Hochberg Multiple Test Procedure Under Negative Dependence., 2014.
Chen, Guanhua, and Michael R. Kosorok. HSSVD: Biclustering with heterogeneous variance (R).., 2013.
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.
Chen, Yong, Yulun Liu, Jing Ning, Janice Cormier, and Haitao Chu. "A hybrid model for combining case-control and cohort studies in systematic reviews of diagnostic tests." J R Stat Soc Ser C Appl Stat 64, no. 3 (2015): 469-489.
Zhou, Yi-Hui, and Fred A. Wright. "Hypothesis testing at the extremes: fast and robust association for high-throughput data." Biostatistics 16, no. 3 (2015): 611-25.
An, Baiguo, Jianhua Guo, and Yufeng Liu. "Hypothesis testing for band size detection of high-dimensional banded precision matrices." Biometrika 101, no. 2 (2014): 477-483.
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.
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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.
Zhou, Jie, Jiajia Zhang, and Wenbin Lu. ICGOR: Fit Generalized Odds Rate Hazards Model with Interval Censored Data (R). 2.0 ed., 2017.
Holloway, Shannon T., Qingning Zhou, Jianwen Cai, and Haibo Zhou. ICODS: Data Analysis for ODS and Case-Cohort Designs with Interval-Censoring (R). 1.0 ed., 2019.
Han, Xuesong, Yang Li, Jian Huang, Yawei Zhang, Theodore Holford, Qing Lan, Nathaniel Rothman, Tongzhang Zheng, Michael R. Kosorok, and Shuangge Ma. "Identification of predictive pathways for non-hodgkin lymphoma prognosis." Cancer Inform 9 (2010): 281-92.
West, Rachel Marceau, Wenbin Lu, Daniel M. Rotroff, Melaine A. Kuenemann, Sheng-Mao Chang, Michael C. Wu, Michael J. Wagner, John B. Buse, Alison A. Motsinger-Reif, Denis Fourches et al. "Identifying individual risk rare variants using protein structure guided local tests (POINT)." PLoS Comput Biol 15, no. 2 (2019): e1006722.
Laber, Eric B., Fan Wu, Catherine Munera, Ilya Lipkovich, Salvatore Colucci, and Steve Ripa. "Identifying optimal dosage regimes under safety constraints: An application to long term opioid treatment of chronic pain." Stat Med 37, no. 9 (2018): 1407-1418.
Nair, Smita. Immune-based therapies., 2016.
Huque, Md Hamidul, Howard Bondell, and Louise Ryan. "On the impact of covariate measurement error on spatial regression modelling." Environmetrics 25, no. 8 (2014): 560-570.
Gao, Hao, Chris R. Kelsey, John Boyle, Tianyi Xie, Suzanne Catalano, Xiaofei Wang, and Fang-Fang Yin. "Impact of Esophageal Motion on Dosimetry and Toxicity With Thoracic Radiation Therapy." Technol Cancer Res Treat 18 (2019): 1533033819849073.
Knickmeyer, Rebecca C., Jiaping Wang, Hongtu Zhu, Xiujuan Geng, Sandra Woolson, Robert M. Hamer, Thomas Konneker, Martin Styner, and John H. Gilmore. "Impact of sex and gonadal steroids on neonatal brain structure." Cereb Cortex 24, no. 10 (2014): 2721-31.
Baldoni, Pedro L., Naim U. Rashid, and Joseph G. Ibrahim. "Improved detection of epigenomic marks with mixed-effects hidden Markov models." Biometrics 75, no. 4 (2019): 1401-1413.
Tsiatis, Anastasios A., Marie Davidian, and Weihua Cao. "Improved doubly robust estimation when data are monotonely coarsened, with application to longitudinal studies with dropout." Biometrics 67, no. 2 (2011): 536-45.
Yan, Ying, Haibo Zhou, and Jianwen Cai. "Improving efficiency of parameter estimation in case-cohort studies with multivariate failure time data." Biometrics 73, no. 3 (2017): 1042-1052.
Sarkar, S. Improving Holm's procedure using pairwise dependencies., 2014.
Kim, Soyoung, Jianwen Cai, and David Couper. "Improving the efficiency of estimation in the additive hazards model for stratified case-cohort design with multiple diseases." Stat Med 35, no. 2 (2016): 282-93.
Benjamini, Y. In Hochberg’s tradition: Selective Inference for Clinical Trials., 2014.
Li, Meng, Ana-Maria Staicu, and Howard D. Bondell. "Incorporating covariates in skewed functional data models." Biostatistics 16, no. 3 (2015): 413-26.
Jiang, Yu, Yujun Han, Slavé Petrovski, Kouros Owzar, David B. Goldstein, and Andrew S. Allen. "Incorporating Functional Information in Tests of Excess De Novo Mutational Load." Am J Hum Genet 97, no. 2 (2015): 272-83.
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.
Butler, Emily L., Eric B. Laber, Sonia M. Davis, and Michael R. Kosorok. "Incorporating Patient Preferences into Estimation of Optimal Individualized Treatment Rules." Biometrics 74, no. 1 (2018): 18-26.
Calandruccio, Lauren, and Haibo Zhou. "Increase in speech recognition due to linguistic mismatch between target and masker speech: monolingual and simultaneous bilingual performance." J Speech Lang Hear Res 57, no. 3 (2014): 1089-97.
Xue, Hongqi, Shuang Wu, Yichao Wu, Juan C. Ramirez Idarraga, and Hulin Wu. "Independence screening for high dimensional nonlinear additive ODE models with applications to dynamic gene regulatory networks." Stat Med 37, no. 17 (2018): 2630-2644.
Chakraborty, Bibhas, Eric B. Laber, and Ying-Qi Zhao. "Inference about the expected performance of a data-driven dynamic treatment regime." Clin Trials 11, no. 4 (2014): 408-417.
Chakraborty, Bibhas, Eric B. Laber, and Yingqi Zhao. "Inference for optimal dynamic treatment regimes using an adaptive m-out-of-n bootstrap scheme." Biometrics 69, no. 3 (2013): 714-23.
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.
Zhang, Min, Anastasios A. Tsiatis, Marie Davidian, Karen S. Pieper, and Kenneth W. Mahaffey. "Inference on treatment effects from a randomized clinical trial in the presence of premature treatment discontinuation: the SYNERGY trial." Biostatistics 12, no. 2 (2011): 258-69.
Wang, Yu-Bo, Ming-Hui Chen, Wei Shi, Paul Lewis, and Lynn Kuo. "Inflated Density Ratio and Its Variation and Generalization for Computing Marginal Likelihoods." J Korean Stat Soc 49, no. 1 (2020): 244-263.
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.
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.
Wong, Kin Yau. Integration of Multiple High-dimensional Genomic Data Types for Survival Prediction., 2016.
Hu, Yi-Juan, Yun Li, Paul L. Auer, and Dan-Yu Lin. "Integrative analysis of sequencing and array genotype data for discovering disease associations with rare mutations." Proc Natl Acad Sci U S A 112, no. 4 (2015): 1019-24.
Hu, Jun, and Jung-Ying Tzeng. "Integrative gene set analysis of multi-platform data with sample heterogeneity." Bioinformatics 30, no. 11 (2014): 1501-7.
Urrutia, Eugene, Hao Chen, Zilu Zhou, Nancy R. Zhang, and Yuchao Jiang. "Integrative pipeline for profiling DNA copy number and inferring tumor phylogeny." Bioinformatics 34, no. 12 (2018): 2126-2128.
Hao, Ning, and Hao Helen Zhang. "Interaction Screening for Ultra-High Dimensional Data." J Am Stat Assoc 109, no. 507 (2014): 1285-1301.
Kang, Chaeryon, Hao Zhu, Fred A. Wright, Fei Zou, and Michael R. Kosorok. "THE INTERACTIVE DECISION COMMITTEE FOR CHEMICAL TOXICITY ANALYSIS." J Stat Res 46, no. 2 (2012): 157-186.
Laber, Eric B., Kristin A. Linn, and Leonard A. Stefanski. "Interactive model building for -learning." Biometrika 101, no. 4 (2014): 831-847.

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