Publications

Filters: Author is Zhu, Hongtu  [Clear All Filters]
Journal Article
Yuan, Ying, Hongtu Zhu, Martin Styner, John H. Gilmore, and J S. Marron. "VARYING COEFFICIENT MODEL FOR MODELING DIFFUSION TENSORS ALONG WHITE MATTER TRACTS." Ann Appl Stat 7, no. 1 (2013): 102-125.
Verde, Audrey R., Francois Budin, Jean-Baptiste Berger, Aditya Gupta, Mahshid Farzinfar, Adrien Kaiser, Mihye Ahn, Hans Johnson, Joy Matsui, Heather C. Hazlett et al. "UNC-Utah NA-MIC framework for DTI fiber tract analysis." Front Neuroinform 7 (2014): 51.
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.
Zhou, Hua, Lexin Li, and Hongtu Zhu. "Tensor Regression with Applications in Neuroimaging Data Analysis." J Am Stat Assoc 108, no. 502 (2013): 540-552.
Rao, Shangbang, Joseph G. Ibrahim, Jian Cheng, Pew-Thian Yap, and Hongtu Zhu. "SR-HARDI: Spatially Regularizing High Angular Resolution Diffusion Imaging." J Comput Graph Stat 25, no. 4 (2016): 1195-1211.
Sun, Qiang, Hongtu Zhu, Yufeng Liu, and Joseph G. Ibrahim. "SPReM: Sparse Projection Regression Model For High-dimensional Linear Regression." J Am Stat Assoc 110, no. 509 (2015): 289-302.
Guo, Ruixin, Mihye Ahn, and Hongtu Zhu. "Spatially Weighted Principal Component Analysis for Imaging Classification." J Comput Graph Stat 24, no. 1 (2015): 274-296.
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.
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.
Hyun, Jung Won, Yimei Li, John H. Gilmore, Zhaohua Lu, Martin Styner, and Hongtu Zhu. "SGPP: spatial Gaussian predictive process models for neuroimaging data." Neuroimage 89 (2014): 70-80.
Skup, Martha, Hongtu Zhu, Yaping Wang, Kelly S. Giovanello, Ja-an Lin, Dinggang Shen, Feng Shi, Wei Gao, Weili Lin, Yong Fan et al. "Sex differences in grey matter atrophy patterns among AD and aMCI patients: results from ADNI." Neuroimage 56, no. 3 (2011): 890-906.
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.
Hua, Zhaowei, Hongtu Zhu, and David B. Dunson. "Semiparametric Bayes local additive models for longitudinal data." Stat Biosci 7, no. 1 (2015): 90-107.
Zhang, Chong, Yufeng Liu, Junhui Wang, and Hongtu Zhu. "Reinforced Angle-based Multicategory Support Vector Machines." J Comput Graph Stat 25, no. 3 (2016): 806-825.
Cornea, Emil, Hongtu Zhu, Peter Kim, and Joseph G. Ibrahim. "Regression Models on Riemannian Symmetric Spaces." J R Stat Soc Series B Stat Methodol 79, no. 2 (2017): 463-482.
Kong, Dehan, Kelly S. Giovanello, Yalin Wang, Weili Lin, Eunjee Lee, Yong Fan, Murali P Doraiswamy, and Hongtu Zhu. "Predicting Alzheimer's Disease Using Combined Imaging-Whole Genome SNP Data." J Alzheimers Dis 46, no. 3 (2015): 695-702.
Zhu, Hongtu, Joseph G. Ibrahim, and Hyunsoon Cho. "PERTURBATION AND SCALED COOK'S DISTANCE." Ann Stat 40, no. 2 (2012): 785-811.
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.
Zhu, Hongtu, Runze Li, and Linglong Kong. "MULTIVARIATE VARYING COEFFICIENT MODEL FOR FUNCTIONAL RESPONSES." Ann Stat 40, no. 5 (2012): 2634-2666.
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.
Bompard, Lucile, Shun Xu, Martin Styner, Beatriz Paniagua, Mihye Ahn, Ying Yuan, Valerie Jewells, Wei Gao, Dinggang Shen, Hongtu Zhu et al. "Multivariate longitudinal shape analysis of human lateral ventricles during the first twenty-four months of life." PLoS One 9, no. 9 (2014): e108306.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Kong, Dehan, Joseph G. Ibrahim, Eunjee Lee, and Hongtu Zhu. "FLCRM: Functional linear cox regression model." Biometrics 74, no. 1 (2018): 109-117.
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.
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.
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.
Xia, Kai, Yang Yu, Mihye Ahn, Hongtu Zhu, Fei Zou, John H. Gilmore, and Rebecca C. Knickmeyer. "Environmental and genetic contributors to salivary testosterone levels in infants." Front Endocrinol (Lausanne) 5 (2014): 187.
Tang, Niansheng, Puying Zhao, and Hongtu Zhu. "Empirical Likelihood for Estimating Equations with Nonignorably Missing Data." Stat Sin 24, no. 2 (2014): 723-747.
Huang, Chao, Liang Shan, Cecil Charles, Marc Niethammer, and Hongtu Zhu. "Diseased region detection of longitudinal knee MRI data." Inf Process Med Imaging 23 (2013): 632-43.
Huang, Chao, Liang Shan, Cecil H Charles, Wolfgang Wirth, Marc Niethammer, and Hongtu Zhu. "Diseased Region Detection of Longitudinal Knee Magnetic Resonance Imaging Data." IEEE Trans Med Imaging 34, no. 9 (2015): 1914-27.
Wang, Jiaping, Haipeng Shen, and Hongtu Zhu. "Discussion of the paper "Clustering Random Curves Under Spatial Interdependence with Application to Service Accessibility" by Jiang and Serban." Technometrics 54, no. 2 (2012): 129-133.
Shi, Yundi, Sarah J. Short, Rebecca C. Knickmeyer, Jiaping Wang, Christopher L. Coe, Marc Niethammer, John H. Gilmore, Hongtu Zhu, and Martin A. Styner. "Diffusion tensor imaging-based characterization of brain neurodevelopment in primates." Cereb Cortex 23, no. 1 (2013): 36-48.
Zhu, Hongtu, Joseph G. Ibrahim, and Ming-Hui Chen. "Diagnostic Measures for the Cox Regression Model with Missing Covariates." Biometrika 102, no. 4 (2015): 907-923.
Gao, Qibing, Mihye Ahn, and Hongtu Zhu. "Cook's Distance Measures for Varying Coefficient Models with Functional Responses." Technometrics 57, no. 2 (2015): 268-280.
Knickmeyer, Rebecca C., Jiaping Wang, Hongtu Zhu, Xiujuan Geng, Sandra Woolson, Robert M. Hamer, Thomas Konneker, Weili Lin, Martin Styner, and John H. Gilmore. "Common variants in psychiatric risk genes predict brain structure at birth." Cereb Cortex 24, no. 5 (2014): 1230-46.
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.
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.
Zhu, Hongtu, Joseph G. Ibrahim, and Niansheng Tang. "Bayesian Sensitivity Analysis of Statistical Models with Missing Data." Stat Sin 24, no. 2 (2014): 871-896.
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.
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.
Zhu, Hongtu, Joseph G. Ibrahim, Yueh-Yun Chi, and Niansheng Tang. "Bayesian influence measures for joint models for longitudinal and survival data." Biometrics 68, no. 3 (2012): 954-64.
Zhu, Hongtu, Joseph G. Ibrahim, and Niansheng Tang. "Bayesian influence analysis: a geometric approach." Biometrika 98, no. 2 (2011): 307-323.
Zhu, Hongtu, Zakaria Khondker, Zhaohua Lu, and Joseph G. Ibrahim. "Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers." J Am Stat Assoc 109, no. 507 (2014): 997-990.
Chow, Sy-Miin, Niansheng Tang, Ying Yuan, Xinyuan Song, and Hongtu Zhu. "Bayesian estimation of semiparametric nonlinear dynamic factor analysis models using the Dirichlet process prior." Br J Math Stat Psychol 64, no. Pt 1 (2011): 69-106.
Zhu, Hongtu, Joseph G. Ibrahim, and Qingxia Chen. "Bayesian Case-deletion Model Complexity and Information Criterion." Stat Interface 7, no. 4 (2014): 531-542.
Zhu, Hongtu, Joseph G. Ibrahim, Hyunsoon Cho, and Niansheng Tang. "Bayesian Case Influence Measures for Statistical Models with Missing Data." J Comput Graph Stat 21, no. 1 (2012): 253-271.
Zhou, Fan, Haibo Zhou, Tengfei Li, and Hongtu Zhu. "Analysis of secondary phenotypes in multigroup association studies." Biometrics 76, no. 2 (2020): 606-618.