Joseph G. Ibrahim

According to our database, Joseph G. Ibrahim authored at least 18 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

glmmPen: High Dimensional Penalized Generalized Linear Mixed Models.

Hillary M. Heiling, Naim U. Rashid, Quefeng Li, Joseph G. Ibrahim

R J., 2024

Deeply Learned Generalized Linear Models with Missing Data.

David K. Lim, Naim U. Rashid, Junier B. Oliva, Joseph G. Ibrahim

J. Comput. Graph. Stat., 2024

2023

BayesPPD: An R Package for Bayesian Sample Size Determination Using the Power and Normalized Power Prior for Generalized Linear Models.

Yueqi Shen, Matthew A. Psioda, Joseph G. Ibrahim

R J., February, 2023

2022

metapack: An R Package for Bayesian Meta-Analysis and Network Meta-Analysis with a Unified Formula Interface.

Daeyoung Lim, Ming-Hui Chen, Joseph G. Ibrahim, Sungduk Kim, Arvind K. Shah, Jianxin Lin

R J., December, 2022

2021

BayesCTDesign: An R Package for Bayesian Trial Design Using Historical Control Data.

Barry Eggleston, Joseph G. Ibrahim, Becky McNeil, Diane Catellier

J. Stat. Softw., 2021

Handling Non-ignorably Missing Features in Electronic Health Records Data Using Importance-Weighted Autoencoders.

David K. Lim, Naim U. Rashid, Junier B. Oliva, Joseph G. Ibrahim

CoRR, 2021

2019

Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differences.

Anqi Zhu, Joseph G. Ibrahim, Michael I. Love

Bioinform., 2019

A Powerful Global Test Statistic for Functional Statistical Inference.

Jingwen Zhang, Joseph G. Ibrahim, Tengfei Li, Hongtu Zhu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studies.

Zhaohua Lu, Zakaria Khondker, Joseph G. Ibrahim, Yue Wang, Hongtu Zhu

NeuroImage, 2017

HFPRM: Hierarchical Functional Principal Regression Model for Diffusion Tensor Image Bundle Statistics.

Jingwen Zhang, Chao Huang, Joseph G. Ibrahim, Shaili Jha, Rebecca C. Knickmeyer, John H. Gilmore, Martin Styner, Hongtu Zhu

Proceedings of the Information Processing in Medical Imaging, 2017

2013

Differential expression analysis with global network adjustment.

Jonathan A. Gelfond, Joseph G. Ibrahim, Mayetri Gupta, Ming-Hui Chen, Jannine D. Cody

BMC Bioinform., 2013

2009

Maximum likelihood inference for the Cox regression model with applications to missing covariates.

Ming-Hui Chen, Joseph G. Ibrahim, Qi-Man Shao

J. Multivar. Anal., 2009

A hierarchical model for incomplete alignments in phylogenetic inference.

Fuxia Cheng, Stefanie Hartmann, Mayetri Gupta, Joseph G. Ibrahim, Todd J. Vision

Bioinform., 2009

RADTI: regression analyses of diffusion tensor images.

Yimei Li, Hongtu Zhu, Yasheng Chen, Joseph G. Ibrahim, Hongyu An, Weili Lin, Colin Hall, Dinggang Shen

Proceedings of the Medical Imaging 2009: Image Processing, 2009

Intrinsic Regression Models for Manifold-Valued Data.

Xiaoyan Shi, Martin Styner, Jeffrey A. Lieberman, Joseph G. Ibrahim, Weili Lin, Hongtu Zhu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

MARM: Multiscale Adaptive Regression Models for Neuroimaging Data.

Hongtu Zhu, Yimei Li, Joseph G. Ibrahim, Weili Lin, Dinggang Shen

Proceedings of the Information Processing in Medical Imaging, 2009

2008

A Note on the Validity of Statistical Bootstrapping for Estimating the Uncertainty of Tensor Parameters in Diffusion Tensor Images.

Ying Yuan, Hongtu Zhu, Joseph G. Ibrahim, Weili Lin, Bradley S. Peterson

IEEE Trans. Medical Imaging, 2008

2007

A Statistical Analysis of Brain Morphology Using Wild Bootstrapping.

Hongtu Zhu, Joseph G. Ibrahim, Niansheng Tang, D. B. Rowe, Xuejun Hao, Ravi Bansal, Bradley S. Peterson

IEEE Trans. Medical Imaging, 2007