Publications

Filters: Keyword is Neuroimaging  [Clear All Filters]
2020
Zhou, Fan, Haibo Zhou, Tengfei Li, and Hongtu Zhu. "Analysis of secondary phenotypes in multigroup association studies." Biometrics 76, no. 2 (2020): 606-618.
2018
Kong, Dehan, Joseph G. Ibrahim, Eunjee Lee, and Hongtu Zhu. "FLCRM: Functional linear cox regression model." Biometrics 74, no. 1 (2018): 109-117.
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.
2017
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.
Chen, Huaihou, Donglin Zeng, and Yuanjia Wang. "Penalized nonlinear mixed effects model to identify biomarkers that predict disease progression." Biometrics 73, no. 4 (2017): 1343-1354.
2014
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.
2013
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.
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.
2012
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, 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.