Publications

Filters: Keyword is Algorithms  [Clear All Filters]
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 
A
Yu, Jichang, Haibo Zhou, and Jianwen Cai. "Accelerated failure time model for data from outcome-dependent sampling." Lifetime Data Anal 27, no. 1 (2021): 15-37.
Srivastava, Avi, Laraib Malik, Hirak Sarkar, Mohsen Zakeri, Fatemeh Almodaresi, Charlotte Soneson, Michael I. Love, Carl Kingsford, and Rob Patro. "Alignment and mapping methodology influence transcript abundance estimation." Genome Biol 21, no. 1 (2020): 239.
Wang, WeiBo, Wei Wang, Wei Sun, James J. Crowley, and Jin P. Szatkiewicz. "Allele-specific copy-number discovery from whole-genome and whole-exome sequencing." Nucleic Acids Res 43, no. 14 (2015): e90.
Pang, Herbert, Keita Ebisu, Emi Watanabe, Laura Y. Sue, and Tiejun Tong. "Analysing breast cancer microarrays from African Americans using shrinkage-based discriminant analysis." Hum Genomics 5, no. 1 (2010): 5-16.
Wang, Xin, Michael P. Epstein, and Jung-Ying Tzeng. "Analysis of gene-gene interactions using gene-trait similarity regression." Hum Hered 78, no. 1 (2014): 17-26.
Hu, Y J., and D Y. Lin. "Analysis of untyped SNPs: maximum likelihood and imputation methods." Genet Epidemiol 34, no. 8 (2010): 803-15.
Zhao, Guolin, Rachel Marceau, Daowen Zhang, and Jung-Ying Tzeng. "Assessing gene-environment interactions for common and rare variants with binary traits using gene-trait similarity regression." Genetics 199, no. 3 (2015): 695-710.
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.
Brucker, Amanda, Wenbin Lu, Rachel Marceau West, Qi-You Yu, Chuhsing Kate Hsiao, Tzu-Hung Hsiao, Ching-Heng Lin, Patrik K. E. Magnusson, Patrick F. Sullivan, Jin P. Szatkiewicz et al. "Association test using Copy Number Profile Curves (CONCUR) enhances power in rare copy number variant analysis." PLoS Comput Biol 16, no. 5 (2020): e1007797.
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.
B
Psioda, Matthew A., and Joseph G. Ibrahim. "Bayesian design of a survival trial with a cured fraction using historical data." Stat Med 37, no. 26 (2018): 3814-3831.
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.
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.
Guo, Ruixin, Hongtu Zhu, Sy-Miin Chow, and Joseph G. Ibrahim. "Bayesian lasso for semiparametric structural equation models." Biometrics 68, no. 2 (2012): 567-77.
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.
Ibrahim, Joseph G., Ming-Hui Chen, Amy H Xia, and Thomas Liu. "Bayesian meta-experimental design: evaluating cardiovascular risk in new antidiabetic therapies to treat type 2 diabetes." Biometrics 68, no. 2 (2012): 578-86.
Chen, Qingxia, Ming-Hui Chen, David Ohlssen, and Joseph G. Ibrahim. "Bayesian modeling and inference for clinical trials with partial retrieved data following dropout." Stat Med 32, no. 24 (2013): 4180-95.
DE Castro, Mário, Ming-Hui Chen, Yuanye Zhang, and Anthony V. D'Amico. "A Bayesian multi-risks survival (MRS) model in the presence of double censorings." Biometrics 76, no. 4 (2020): 1297-1309.
Chen, Ming-Hui, Joseph G. Ibrahim, Amy H Xia, Thomas Liu, and Violeta Hennessey. "Bayesian sequential meta-analysis design in evaluating cardiovascular risk in a new antidiabetic drug development program." Stat Med 33, no. 9 (2014): 1600-18.
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.
Helgeson, Erika S., Qian Liu, Guanhua Chen, Michael R. Kosorok, and Eric Bair. "Biclustering via sparse clustering." Biometrics 76, no. 1 (2020): 348-358.
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.
Pang, Herbert, Tiejun Tong, and Michael Ng. "Block-diagonal discriminant analysis and its bias-corrected rules." Stat Appl Genet Mol Biol 12, no. 3 (2013): 347-59.
F
Zhu, Hongtu, Linglong Kong, Runze Li, Martin Styner, Guido Gerig, Weili Lin, and John H. Gilmore. "FADTTS: functional analysis of diffusion tensor tract statistics." Neuroimage 56, no. 3 (2011): 1412-25.
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.
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.
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.
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.
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.
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.
M
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.
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.
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 Stefanski, and Marie Davidian. "A moment-adjusted imputation method for measurement error models." Biometrics 67, no. 4 (2011): 1461-70.
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.
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.
Skup, Martha, Hongtu Zhu, and Heping Zhang. "Multiscale adaptive marginal analysis of longitudinal neuroimaging data with time-varying covariates." Biometrics 68, no. 4 (2012): 1083-92.
Gao, Wei, Hongtu Zhu, Kelly Giovanello, and Weili Lin. "Multivariate network-level approach to detect interactions between large-scale functional systems." Med Image Comput Comput Assist Interv 13, no. Pt 2 (2010): 298-305.
Zhu, Hongtu, Martin Styner, Yimei Li, Linglong Kong, Yundi Shi, Weili Lin, Christopher Coe, and John H. Gilmore. "Multivariate varying coefficient models for DTI tract statistics." Med Image Comput Comput Assist Interv 13, no. Pt 1 (2010): 690-7.
R
Yan, Kang K., Xiaofei Wang, Wendy W. T. Lam, Varut Vardhanabhuti, Anne W. M. Lee, and Herbert H. Pang. "Radiomics analysis using stability selection supervised component analysis for right-censored survival data." Comput Biol Med 124 (2020): 103959.
Zhang, Xiang, Shunping Huang, Wei Sun, and Wei Wang. "Rapid and robust resampling-based multiple-testing correction with application in a genome-wide expression quantitative trait loci study." Genetics 190, no. 4 (2012): 1511-20.
Wang, Charlotte, Jung-Ying Tzeng, Pei-Zhen Wu, Martin Preisig, and Chuhsing Kate Hsiao. "Reexamining Dis/Similarity-Based Tests for Rare-Variant Association with Case-Control Samples." Genetics 209, no. 1 (2018): 105-113.
Ni, Ai, and Jianwen Cai. "A regularized variable selection procedure in additive hazards model with stratified case-cohort design." Lifetime Data Anal 24, no. 3 (2018): 443-463.
Yao, Xiaoxin I., Xiaofei Wang, Paul J. Speicher, Shelley E Hwang, Perry Cheng, David H. Harpole, Mark F. Berry, Deborah Schrag, and Herbert H. Pang. "Reporting and Guidelines in Propensity Score Analysis: A Systematic Review of Cancer and Cancer Surgical Studies." J Natl Cancer Inst 109, no. 8 (2017).
Chen, Xiaolin, and Jianwen Cai. "Reweighted estimators for additive hazard model with censoring indicators missing at random." Lifetime Data Anal 24, no. 2 (2018): 224-249.
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.
Xiao, W, H H. Zhang, and W Lu. "Robust regression for optimal individualized treatment rules." Stat Med 38, no. 11 (2019): 2059-2073.
Sohn, Insuk, Kouros Owzar, Stephen L. George, Sujong Kim, and Sin-Ho Jung. "Robust test method for time-course microarray experiments." BMC Bioinformatics 11 (2010): 391.
S
Yang, Yuchen, Ruth Huh, Houston W. Culpepper, Yuan Lin, Michael I. Love, and Yun Li. "SAFE-clustering: Single-cell Aggregated (from Ensemble) clustering for single-cell RNA-seq data." Bioinformatics 35, no. 8 (2019): 1269-1277.
Wang, Rujin, Dan-Yu Lin, and Yuchao Jiang. "SCOPE: A Normalization and Copy-Number Estimation Method for Single-Cell DNA Sequencing." Cell Syst 10, no. 5 (2020): 445-452.e6.
Jia, Xiaoyu, Anastasia Ivanova, and Shing M. Lee. "Selection of the initial design for the two-stage continual reassessment method." J Biopharm Stat 27, no. 3 (2017): 495-506.
Hua, Zhaowei, David B. Dunson, John H. Gilmore, Martin A. Styner, and Hongtu Zhu. "Semiparametric Bayesian local functional models for diffusion tensor tract statistics." Neuroimage 63, no. 1 (2012): 460-74.
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.
Wu, Yuan, Christina D. Chambers, and Ronghui Xu. "Semiparametric sieve maximum likelihood estimation under cure model with partly interval censored and left truncated data for application to spontaneous abortion." Lifetime Data Anal 25, no. 3 (2019): 507-528.
Laber, Eric B., Daniel J. Lizotte, and Bradley Ferguson. "Set-valued dynamic treatment regimes for competing outcomes." Biometrics 70, no. 1 (2014): 53-61.
Chen, Yasheng, Songbai Ji, Xunlei Wu, Hongyu An, Hongtu Zhu, Dinggang Shen, and Weili Lin. "Simulation of brain mass effect with an arbitrary Lagrangian and Eulerian FEM." Med Image Comput Comput Assist Interv 13, no. Pt 2 (2010): 274-81.
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.
Reich, Brian J., and Howard D. Bondell. "A spatial dirichlet process mixture model for clustering population genetics data." Biometrics 67, no. 2 (2011): 381-90.
Owzar, Kouros, William T. Barry, and Sin-Ho Jung. "Statistical considerations for analysis of microarray experiments." Clin Transl Sci 4, no. 6 (2011): 466-77.
Kimes, Patrick K., Yufeng Liu, David Neil Hayes, and James Stephen Marron. "Statistical significance for hierarchical clustering." Biometrics 73, no. 3 (2017): 811-821.
Kang, Suhyun, Wenbin Lu, and Rui Song. "Subgroup detection and sample size calculation with proportional hazards regression for survival data." Stat Med 36, no. 29 (2017): 4646-4659.

Pages