Joseph Ibrahim

62 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0003-2428-6552

Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC

Publications

• Bayesian joint modeling of high-dimensional discrete multivariate longitudinal data using generalized linear mixed models — The Annals of Applied Statistics 2024
• LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures — Journal of the American Statistical Association 2023
• Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures — Journal of the American Statistical Association 2023
• Model-based feature selection and clustering of RNA-seq data for unsupervised subtype discovery — The Annals of Applied Statistics 2021
• Modeling Between-Study Heterogeneity for Improved Replicability in Gene Signature Selection and Clinical Prediction — Journal of the American Statistical Association 2020
• ICeD-T Provides Accurate Estimates of Immune Cell Abundance in Tumor Samples by Allowing for Aberrant Gene Expression Patterns — Journal of the American Statistical Association 2020
• TPRM: Tensor partition regression models with applications in imaging biomarker detection — The Annals of Applied Statistics 2018
• Semiparametric regression analysis for composite endpoints subject to componentwise censoring — Biometrika 2018
• The effects of nonignorable missing data on label-free mass spectrometry proteomics experiments — The Annals of Applied Statistics 2018
• Regression models on Riemannian symmetric spaces — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2017
• A statistical model to assess (allele-specific) associations between gene expression and epigenetic features using sequencing data — The Annals of Applied Statistics 2016
• SPReM: Sparse Projection Regression Model For High-Dimensional Linear Regression — Journal of the American Statistical Association 2015
• Diagnostic measures for the Cox regression model with missing covariates — Biometrika 2015
• Bayesian Inference for Multivariate Meta-Regression With a Partially Observed Within-Study Sample Covariance Matrix — Journal of the American Statistical Association 2015
• BFLCRM: A Bayesian functional linear Cox regression model for predicting time to conversion to Alzheimer’s disease — The Annals of Applied Statistics 2015
• Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers — Journal of the American Statistical Association 2014
• Some Statistical Strategies for DAE-seq Data Analysis: Variable Selection and Modeling Dependencies Among Observations — Journal of the American Statistical Association 2014
• Estimating time-varying effects for overdispersed recurrent events data with treatment switching — Biometrika 2013 (name-matched, not ORCID-linked)
• Intrinsic Regression Models for Medial Representation of Subcortical Structures — Journal of the American Statistical Association 2012
• Estimating treatment effects with treatment switching via semicompeting risks models: an application to a colorectal cancer study — Biometrika 2012 (name-matched, not ORCID-linked)
• Perturbation and scaled Cook’s distance — The Annals of Statistics 2012
• Multiscale adaptive regression models for neuroimaging data — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2011
• A generalized linear mixed model for longitudinal binary data with a marginal logit link function — The Annals of Applied Statistics 2011 (name-matched, not ORCID-linked)
• Bayesian influence analysis: a geometric approach — Biometrika 2011
• Intrinsic Regression Models for Positive-Definite Matrices With Applications to Diffusion Tensor Imaging — Journal of the American Statistical Association 2009
• Gamma frailty transformation models for multivariate survival times — Biometrika 2009
• Regression Models for Identifying Noise Sources in Magnetic Resonance Images — Journal of the American Statistical Association 2009
• Current Methods for Recurrent Events Data With Dependent Termination — Journal of the American Statistical Association 2008
• Diagnostic measures for empirical likelihood of general estimating equations — Biometrika 2008
• Model Selection Criteria for Missing-Data Problems Using the EM Algorithm — Journal of the American Statistical Association 2008
• Properties and Implementation of Jeffreys’s Prior in Binomial Regression Models — Journal of the American Statistical Association 2008
• Rejoinder — Journal of the American Statistical Association 2007
• Perturbation selection and influence measures in local influence analysis — The Annals of Statistics 2007 (name-matched, not ORCID-linked)
• Structured Measurement Error in Nutritional Epidemiology — Journal of the American Statistical Association 2007
• Variable Selection in Regression Mixture Modeling for the Discovery of Gene Regulatory Networks — Journal of the American Statistical Association 2007
• Comment — Journal of the American Statistical Association 2007
• Sieve Maximum Likelihood Estimation for Regression Models With Covariates Missing at Random — Journal of the American Statistical Association 2007
• Statistical Analysis of Diffusion Tensors in Diffusion-Weighted Magnetic Resonance Imaging Data — Journal of the American Statistical Association 2007
• Bayesian Model Averaging With Applications to Benchmark Dose Estimation for Arsenic in Drinking Water — Journal of the American Statistical Association 2006
• Posterior propriety and computation for the Cox regression model with applications to missing covariates — Biometrika 2006
• Semiparametric Transformation Models for Survival Data With a Cure Fraction — Journal of the American Statistical Association 2006
• Inference for a Class of Transformed Hazards Models — Journal of the American Statistical Association 2005
• Missing-Data Methods for Generalized Linear Models — Journal of the American Statistical Association 2005
• Propriety of the Posterior Distribution and Existence of the MLE for Regression Models With Covariates Missing at Random — Journal of the American Statistical Association 2004
• Bayesian criterion based model assessment for categorical data — Biometrika 2004 (name-matched, not ORCID-linked)
• A Bayesian justification of Cox's partial likelihood — Biometrika 2003 (name-matched, not ORCID-linked)
• Estimating Cure Rates From Survival Data — Journal of the American Statistical Association 2003
• On Optimality Properties of the Power Prior — Journal of the American Statistical Association 2003
• Bayesian Models for Gene Expression With DNA Microarray Data — Journal of the American Statistical Association 2002
• Models for survival data from cancer prevention studies — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2002
• Likelihood-Based Methods for Missing Covariates in the Cox Proportional Hazards Model — Journal of the American Statistical Association 2001
• Missing responses in generalised linear mixed models when the missing data mechanism is nonignorable — Biometrika 2001 (name-matched, not ORCID-linked)
• A New Bayesian Model for Survival Data with a Surviving Fraction — Journal of the American Statistical Association 1999
• Missing covariates in generalized linear models when the missing data mechanism is non-ignorable — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1999
• A Weighted Estimating Equation for Missing Covariate Data with Properties Similar to Maximum Likelihood — Journal of the American Statistical Association 1999
• Prior elicitation, variable selection and Bayesian computation for logistic regression models — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1999
• Predictive specification of prior model probabilities in variable selection — Biometrika 1996 (name-matched, not ORCID-linked)
• Predictive Model Selection — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 1995
• A Predictive Approach to the Analysis of Designed Experiments — Journal of the American Statistical Association 1994
• On Bayesian Analysis of Generalized Linear Models Using Jeffreys's Prior — Journal of the American Statistical Association 1991
• Incomplete Data in Generalized Linear Models — Journal of the American Statistical Association 1990
• Leveraging External Data in Rare Disease Trials Through Individualized Discounting Within the Power Prior: A Case Study in Hereditary Angioedema — Journal of the American Statistical Association (name-matched, not ORCID-linked)