Joseph G. Ibrahim - researchr alias

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Viewing Publication 1 - 13 from 13

2023

BayesPPD: An R Package for Bayesian Sample Size Determination Using the Power and Normalized Power Prior for Generalized Linear ModelsYueqi Shen, Matthew A. Psioda, Joseph G. Ibrahim. rjour, 14(4):335-351, February 2023. [doi]

2022

metapack: An R Package for Bayesian Meta-Analysis and Network Meta-Analysis with a Unified Formula InterfaceDaeyoung Lim, Ming-Hui Chen, Joseph G. Ibrahim, Sungduk Kim, Arvind K. Shah, Jianxin Lin. rjour, 14(3):142-161, December 2022. [doi]

2021

BayesCTDesign: An R Package for Bayesian Trial Design Using Historical Control DataBarry Eggleston, Joseph G. Ibrahim, Becky McNeil, Diane Catellier. jstatsoft, 100(21), 2021. [doi]

2019

A Powerful Global Test Statistic for Functional Statistical InferenceJingwen Zhang, Joseph G. Ibrahim, Tengfei Li, Hongtu Zhu. AAAI 2019: 5765-5772 [doi]

Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differencesAnqi Zhu, Joseph G. Ibrahim, Michael I. Love. bioinformatics, 35(12):2084-2092, 2019. [doi]

2017

Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studiesZhaohua Lu, Zakaria Khondker, Joseph G. Ibrahim, Yue Wang, Hongtu Zhu. neuroimage, 149:305-322, 2017. [doi]

HFPRM: Hierarchical Functional Principal Regression Model for Diffusion Tensor Image Bundle StatisticsJingwen Zhang, Chao Huang, Joseph G. Ibrahim, Shaili Jha, Rebecca C. Knickmeyer, John H. Gilmore, Martin Styner, Hongtu Zhu. ipmi 2017: 478-489 [doi]

2013

Differential expression analysis with global network adjustmentJonathan A. Gelfond, Joseph G. Ibrahim, Mayetri Gupta, Ming-Hui Chen, Jannine D. Cody. bmcbi, 14:258, 2013. [doi]

2009

Maximum likelihood inference for the Cox regression model with applications to missing covariatesMing-Hui Chen, Joseph G. Ibrahim, Qi-Man Shao. ma, 100(9):2018-2030, 2009. [doi]

A hierarchical model for incomplete alignments in phylogenetic inferenceFuxia Cheng, Stefanie Hartmann, Mayetri Gupta, Joseph G. Ibrahim, Todd J. Vision. bioinformatics, 25(5):592-598, 2009. [doi]

RADTI: regression analyses of diffusion tensor imagesYimei Li, Hongtu Zhu, Yasheng Chen, Joseph G. Ibrahim, Hongyu An, Weili Lin, Colin Hall, Dinggang Shen. miip 2009: [doi]

Intrinsic Regression Models for Manifold-Valued DataXiaoyan Shi, Martin Styner, Jeffrey A. Lieberman, Joseph G. Ibrahim, Weili Lin, Hongtu Zhu. miccai 2009: 192-199 [doi]

MARM: Multiscale Adaptive Regression Models for Neuroimaging DataHongtu Zhu, Yimei Li, Joseph G. Ibrahim, Weili Lin, Dinggang Shen. ipmi 2009: 314-325 [doi]

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