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Joseph G Ibrahim

Explore the profile of Joseph G Ibrahim including associated specialties, affiliations and a list of published articles. Areas
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Articles 250
Citations 4498
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Recent Articles
1.
Heiling H, Rashid N, Li Q, Peng X, Yeh J, Ibrahim J
Stat Med . 2025 Mar; 44(6):e10311. PMID: 40062723
Identifying and characterizing relationships between treatments, exposures, or other covariates and time-to-event outcomes has great significance in a wide range of biomedical settings. In research areas such as multi-center clinical...
2.
Chen M, Ibrahim J, Sinha D
J Am Stat Assoc . 2025 Feb; 94(447):909-919. PMID: 39991730
We consider Bayesian methods for right-censored survival data for populations with a surviving (cure) fraction. We propose a model that is quite different from the standard mixture model for cure...
3.
Alt E, Qu Y, Damone E, Liu J, Wang C, Ibrahim J
Stat Med . 2025 Feb; 44(5):e70021. PMID: 39976122
In oncology clinical trials, tumor burden (TB) stands as a crucial longitudinal biomarker, reflecting the toll a tumor takes on a patient's prognosis. With certain treatments, the disease's natural progression...
4.
Cho S, Psioda M, Ibrahim J
J Biopharm Stat . 2025 Jan; 1-12. PMID: 39865704
With the continuous advancement of medical treatments, there is an increasing demand for clinical trial designs and analyses using cure rate models to accommodate a plateau in the survival curve....
5.
Damone E, Zhu J, Pang H, Li X, Zhao Y, Kwiatkowski E, et al.
BMC Med Res Methodol . 2024 Nov; 24(1):264. PMID: 39487399
Background: The use of historical external control data in clinical trials has grown in interest and needs when considering the design of future trials. Hybrid control designs can be more...
6.
Alt E, Chang X, Jiang X, Liu Q, Mo M, Xia H, et al.
Biometrics . 2024 Sep; 80(3). PMID: 39329230
It is becoming increasingly popular to elicit informative priors on the basis of historical data. Popular existing priors, including the power prior, commensurate prior, and robust meta-analytic predictive prior, provide...
7.
Alt E, Chang X, Jiang X, Liu Q, Mo M, Xia H, et al.
Biometrics . 2024 Sep; 80(3). PMID: 39329229
The discussions of our paper provide insights into the practical considerations of the latent exchangeability prior while also highlighting further extensions. In this rejoinder, we briefly summarize the discussions and...
8.
Lim D, Rashid N, Oliva J, Ibrahim J
J Comput Graph Stat . 2024 Aug; 33(2):638-650. PMID: 39184956
Deep Learning (DL) methods have dramatically increased in popularity in recent years, with significant growth in their application to various supervised learning problems. However, the greater prevalence and complexity of...
9.
Heiling H, Rashid N, Li Q, Ibrahim J
R J . 2024 May; 15(4):106-128. PMID: 38818017
Generalized linear mixed models (GLMMs) are widely used in research for their ability to model correlated outcomes with non-Gaussian conditional distributions. The proper selection of fixed and random effects is...
10.
Cho S, Psioda M, Ibrahim J
Biostatistics . 2024 Apr; 25(4):962-977. PMID: 38669589
There is an increasing interest in the use of joint models for the analysis of longitudinal and survival data. While random effects models have been extensively studied, these models can...