Joseph G. Ibrahim

According to our database1, Joseph G. Ibrahim authored at least 17 papers between 2007 and 2023.

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Bibliography

2023
BayesPPD: An R Package for Bayesian Sample Size Determination Using the Power and Normalized Power Prior for Generalized Linear Models.
R J., February, 2023

2022
metapack: An R Package for Bayesian Meta-Analysis and Network Meta-Analysis with a Unified Formula Interface.
R J., December, 2022

Deeply-Learned Generalized Linear Models with Missing Data.
CoRR, 2022

2021
BayesCTDesign: An R Package for Bayesian Trial Design Using Historical Control Data.
J. Stat. Softw., 2021

Handling Non-ignorably Missing Features in Electronic Health Records Data Using Importance-Weighted Autoencoders.
CoRR, 2021

2019
Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differences.
Bioinform., 2019

A Powerful Global Test Statistic for Functional Statistical Inference.
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.
NeuroImage, 2017

HFPRM: Hierarchical Functional Principal Regression Model for Diffusion Tensor Image Bundle Statistics.
Proceedings of the Information Processing in Medical Imaging, 2017

2013
Differential expression analysis with global network adjustment.
BMC Bioinform., 2013

2009
Maximum likelihood inference for the Cox regression model with applications to missing covariates.
J. Multivar. Anal., 2009

A hierarchical model for incomplete alignments in phylogenetic inference.
Bioinform., 2009

RADTI: regression analyses of diffusion tensor images.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Intrinsic Regression Models for Manifold-Valued Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

MARM: Multiscale Adaptive Regression Models for Neuroimaging Data.
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.
IEEE Trans. Medical Imaging, 2008

2007
A Statistical Analysis of Brain Morphology Using Wild Bootstrapping.
IEEE Trans. Medical Imaging, 2007


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