Joseph G. Ibrahim

Joseph G. Ibrahim

University of North Carolina at Chapel Hill

H-index: 83

North America-United States

About Joseph G. Ibrahim

Joseph G. Ibrahim, With an exceptional h-index of 83 and a recent h-index of 46 (since 2020), a distinguished researcher at University of North Carolina at Chapel Hill, specializes in the field of missing data, cancer, Bayesian methods, survival analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

BayesPPDSurv: An R Package for Bayesian Sample Size Determination Using the Power and Normalized Power Prior for Time-To-Event Data

Exploring the Connection Between the Normalized Power Prior and Bayesian Hierarchical Models

Efficient computation of high-dimensional penalized generalized linear mixed models by latent factor modeling of the random effects

Bayesian joint modeling of multivariate longitudinal and survival outcomes using Gaussian copulas

Safety signal detection with control of latent factors

Prior Effective Sample Size When Borrowing on the Treatment Effect Scale

Canopy2: tumor phylogeny inference by bulk DNA and single-cell RNA sequencing

Bayesian design of clinical trials using the scale transformed power prior

Joseph G. Ibrahim Information

University

Position

___

Citations(all)

31336

Citations(since 2020)

10650

Cited By

24670

hIndex(all)

83

hIndex(since 2020)

46

i10Index(all)

285

i10Index(since 2020)

173

Email

University Profile Page

University of North Carolina at Chapel Hill

Google Scholar

View Google Scholar Profile

Joseph G. Ibrahim Skills & Research Interests

missing data

cancer

Bayesian methods

survival analysis

Top articles of Joseph G. Ibrahim

Title

Journal

Author(s)

Publication Date

BayesPPDSurv: An R Package for Bayesian Sample Size Determination Using the Power and Normalized Power Prior for Time-To-Event Data

arXiv preprint arXiv:2404.05118

Yueqi Shen

Matthew A Psioda

Joseph G Ibrahim

2024/4/8

Exploring the Connection Between the Normalized Power Prior and Bayesian Hierarchical Models

arXiv preprint arXiv:2404.02453

Yueqi Shen

Matthew A Psioda

Luiz M Carvalho

Joseph G Ibrahim

2024/4/3

Efficient computation of high-dimensional penalized generalized linear mixed models by latent factor modeling of the random effects

Biometrics

Hillary M Heiling

Naim U Rashid

Quefeng Li

Xianlu L Peng

Jen Jen Yeh

...

2024/3

Bayesian joint modeling of multivariate longitudinal and survival outcomes using Gaussian copulas

Frontiers in big Data

Yangxin Huang

Jiaqing Chen

Lan Xu

Nian-Sheng Tang

2022/4/27

Safety signal detection with control of latent factors

Statistics in Medicine

Xianming Tan

William Wang

Donglin Zeng

Guanghan F Liu

Guoqing Diao

...

2024/1/31

Prior Effective Sample Size When Borrowing on the Treatment Effect Scale

arXiv preprint arXiv:2404.13366

Hongtao Zhang

Keaven M Anderson

Zachary Zimmer

Gregory Golm

Aditi Sapre

...

2024/4/20

Canopy2: tumor phylogeny inference by bulk DNA and single-cell RNA sequencing

bioRxiv

Ann Marie K Weideman

Rujin Wang

Joseph G Ibrahim

Yuchao Jiang

2024

Bayesian design of clinical trials using the scale transformed power prior

Journal of Biopharmaceutical Statistics

Xinxin Chen

Brady Nifong

Ethan M Alt

Matthew A Psioda

Joseph G Ibrahim

2024/4/18

glmmpen: High dimensional penalized generalized linear mixed models

arXiv preprint arXiv:2305.08204

Hillary M Heiling

Naim U Rashid

Quefeng Li

Joseph G Ibrahim

2023/5/14

Bayesian joint models for multi-regional clinical trials

Biostatistics

Nathan W Bean

Joseph G Ibrahim

Matthew A Psioda

2023/9/5

Deeply Learned Generalized Linear Models with Missing Data

Journal of Computational and Graphical Statistics

David K Lim

Naim U Rashid

Junier B Oliva

Joseph G Ibrahim

2023/12/12

Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures

Journal of the American Statistical Association

Zhengwu Zhang

Yuexuan Wu

Di Xiong

Joseph G Ibrahim

Anuj Srivastava

...

2023/1/2

New C‐indices for assessing importance of longitudinal biomarkers in fitting competing risks survival data in the presence of partially masked causes

Statistics in Medicine

Md Tuhin Sheikh

Ming‐Hui Chen

Jonathan A Gelfond

Wei Sun

Joseph G Ibrahim

2023/4/30

Bayesian bi-level variable selection for genome-wide survival study

Genomics & Informatics

Eunjee Lee

Joseph G Ibrahim

Hongtu Zhu

2023/6/28

Discussion of “Optimal test procedures for multiple hypotheses controlling the familywise expected loss” by Willi Maurer, Frank Bretz, and Xiaolei Xun

Biometrics

Sudipto Banerjee

2023/12

Lesa: longitudinal elastic shape analysis of brain subcortical structures

Journal of the American Statistical Association

Zhengwu Zhang

Yuexuan Wu

Di Xiong

Joseph G Ibrahim

Anuj Srivastava

...

2023/1/2

Bayesian multiregional clinical trials using model averaging

Biostatistics

Nathan W Bean

Joseph G Ibrahim

Matthew A Psioda

2023/4/1

Estimating cell type composition using isoform expression one gene at a time

Biometrics

Hillary M Heiling

Douglas R Wilson

Naim U Rashid

Wei Sun

Joseph G Ibrahim

2023/6

Bayesian design of multi‐regional clinical trials with time‐to‐event endpoints

Biometrics

Nathan William Bean

Joseph George Ibrahim

Matthew Austin Psioda

2023/12

Bayesian Design of Clinical Trials Using Joint Cure Rate Models for Longitudinal and Time-to-Event Data

Lifetime Data Analysis

Jiawei Xu

Matthew A Psioda

Joseph G Ibrahim

2023/1

See List of Professors in Joseph G. Ibrahim University(University of North Carolina at Chapel Hill)