Joseph G. Ibrahim

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 11

Top Topics

Regression Model

Generalized Linear Models

Top Venues

Publications

David K. Lim, Naim U. Rashid, Junier B. Oliva, Joseph G. Ibrahim
Deeply Learned Generalized Linear Models with Missing Data. J. Comput. Graph. Stat. 33 (2) (2024)
Hillary M. Heiling, Naim U. Rashid, Quefeng Li, Joseph G. Ibrahim
glmmPen: High Dimensional Penalized Generalized Linear Mixed Models. R J. 15 (4) (2024)
Yueqi Shen, Matthew A. Psioda, Joseph G. Ibrahim
BayesPPD: An R Package for Bayesian Sample Size Determination Using the Power and Normalized Power Prior for Generalized Linear Models. R J. 14 (4) (2023)
David K. Lim, Naim U. Rashid, Junier B. Oliva, Joseph G. Ibrahim
Deeply-Learned Generalized Linear Models with Missing Data. CoRR (2022)
Daeyoung Lim, Ming-Hui Chen, Joseph G. Ibrahim, Sungduk Kim, Arvind K. Shah, Jianxin Lin
metapack: An R Package for Bayesian Meta-Analysis and Network Meta-Analysis with a Unified Formula Interface. R J. 14 (3) (2022)
David K. Lim, Naim U. Rashid, Junier B. Oliva, Joseph G. Ibrahim
Handling Non-ignorably Missing Features in Electronic Health Records Data Using Importance-Weighted Autoencoders. CoRR (2021)
Barry Eggleston, Joseph G. Ibrahim, Becky McNeil, Diane Catellier
BayesCTDesign: An R Package for Bayesian Trial Design Using Historical Control Data. J. Stat. Softw. 100 (21) (2021)
Anqi Zhu, Joseph G. Ibrahim, Michael I. Love
Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differences. Bioinform. 35 (12) (2019)
Jingwen Zhang, Joseph G. Ibrahim, Tengfei Li, Hongtu Zhu
A Powerful Global Test Statistic for Functional Statistical Inference. AAAI (2019)
Jingwen Zhang, Chao Huang, Joseph G. Ibrahim, Shaili Jha, Rebecca C. Knickmeyer, John H. Gilmore, Martin Styner, Hongtu Zhu
HFPRM: Hierarchical Functional Principal Regression Model for Diffusion Tensor Image Bundle Statistics. IPMI (2017)
Zhaohua Lu, Zakaria Khondker, Joseph G. Ibrahim, Yue Wang, Hongtu Zhu
Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studies. NeuroImage 149 (2017)
Jonathan A. Gelfond, Joseph G. Ibrahim, Mayetri Gupta, Ming-Hui Chen, Jannine D. Cody
Differential expression analysis with global network adjustment. BMC Bioinform. 14 (2013)
Hongtu Zhu, Yimei Li, Joseph G. Ibrahim, Weili Lin, Dinggang Shen
MARM: Multiscale Adaptive Regression Models for Neuroimaging Data. IPMI (2009)
Xiaoyan Shi, Martin Styner, Jeffrey A. Lieberman, Joseph G. Ibrahim, Weili Lin, Hongtu Zhu
Intrinsic Regression Models for Manifold-Valued Data. MICCAI (1) (2009)
Yimei Li, Hongtu Zhu, Yasheng Chen, Joseph G. Ibrahim, Hongyu An, Weili Lin, Colin Hall, Dinggang Shen
RADTI: regression analyses of diffusion tensor images. Medical Imaging: Image Processing (2009)
Ming-Hui Chen, Joseph G. Ibrahim, Qi-Man Shao
Maximum likelihood inference for the Cox regression model with applications to missing covariates. J. Multivar. Anal. 100 (9) (2009)
Fuxia Cheng, Stefanie Hartmann, Mayetri Gupta, Joseph G. Ibrahim, Todd J. Vision
A hierarchical model for incomplete alignments in phylogenetic inference. Bioinform. 25 (5) (2009)
Ying Yuan, Hongtu Zhu, Joseph G. Ibrahim, Weili Lin, Bradley S. Peterson
A Note on the Validity of Statistical Bootstrapping for Estimating the Uncertainty of Tensor Parameters in Diffusion Tensor Images. IEEE Trans. Medical Imaging 27 (10) (2008)
Hongtu Zhu, Joseph G. Ibrahim, Niansheng Tang, D. B. Rowe, Xuejun Hao, Ravi Bansal, Bradley S. Peterson
A Statistical Analysis of Brain Morphology Using Wild Bootstrapping. IEEE Trans. Medical Imaging 26 (7) (2007)