Joseph G Ibrahim

发表

Bayesian Case-deletion Model Complexity and Information Criterion.

Hongtu Zhu, Joseph G Ibrahim, Qingxia Chen, 2014, Statistics and its interface.

Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers

Hongtu Zhu, Joseph G Ibrahim, Zakaria Khondker, 2014, Journal of the American Statistical Association.

A practical Bayesian adaptive design incorporating data from historical controls

Joseph G Ibrahim, Matthew A Psioda, Mat Soukup, 2018, Statistics in medicine.

Bayesian clinical trial design using historical data that inform the treatment effect.

Joseph G Ibrahim, Matthew A Psioda, J. Ibrahim, 2019, Biostatistics.

Reply to Comments.

Joseph G Ibrahim, Donglin Zeng, Fei Gao, 2016, Statistics in medicine.

MILFM: Multiple index latent factor model based on high‐dimensional features

Hongtu Zhu, Joseph G Ibrahim, Hojin Yang, 2018, Biometrics.

SPReM: Sparse Projection Regression Model For High-Dimensional Linear Regression

Qiang Sun, Yufeng Liu, Hongtu Zhu, 2015, Journal of the American Statistical Association.

Bayesian probability of success for clinical trials using historical data

Joseph G Ibrahim, Ming-Hui Chen, Mani Lakshminarayanan, 2015, Statistics in medicine.

Controlling false discovery proportion in identification of drug-related adverse events from multiple system organ classes.

Joseph G Ibrahim, Donglin Zeng, William Wang, 2019, Statistics in medicine.

Joint analysis of single cell and bulk tissue sequencing data to infer Intra-Tumor heterogeneity.

Joseph G Ibrahim, Wei Sun, Ming-Hui Chen, 2019, Biometrics.

Bayesian sequential meta‐analysis design in evaluating cardiovascular risk in a new antidiabetic drug development program

Joseph G Ibrahim, Ming-Hui Chen, H Amy Xia, 2014, Statistics in medicine.

Hypothesis testing for two-stage designs with over or under enrollment.

Joseph G Ibrahim, Donglin Zeng, Fei Gao, 2015, Statistics in medicine.

Current Methods for Recurrent Events Data With Dependent Termination

Joseph G Ibrahim, Tapabrata Maiti, Debajyoti Sinha, 2008, Journal of the American Statistical Association.

TWO-STAGE EMPIRICAL LIKELIHOOD FOR LONGITUDINAL NEUROIMAGING DATA.

Martin Styner, Joseph G Ibrahim, Hongtu Zhu, 2011, The annals of applied statistics.

SR-HARDI: Spatially Regularizing High Angular Resolution Diffusion Imaging

Hongtu Zhu, Joseph G Ibrahim, Pew-Thian Yap, 2016, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Bayesian Sensitivity Analysis of Statistical Models with Missing Data.

Hongtu Zhu, Joseph G Ibrahim, Niansheng Tang, 2014, Statistica Sinica.

Identification of Differentially Expressed Genes in High‐Density Oligonucleotide Arrays Accounting for the Quantification Limits of the Technology

Joseph G Ibrahim, Mahlet G Tadesse, George L Mutter, 2003, Biometrics.

A hierarchical testing approach for detecting safety signals in clinical trials

Joseph G Ibrahim, Xianming Tan, Bingshu E Chen, 2020, Statistics in medicine.

Pseudo‐likelihood methods for longitudinal binary data with non‐ignorable missing responses and covariates

Joseph G Ibrahim, Stuart R Lipsitz, Michael Parzen, 2006, Statistics in medicine.

Sample size and power determination in joint modeling of longitudinal and survival data

Joseph G Ibrahim, Haitao Chu, Liddy M Chen, 2011, Statistics in medicine.

A weighted combination of pseudo-likelihood estimators for longitudinal binary data subject to non-ignorable non-monotone missingness.

Geert Molenberghs, Joseph G Ibrahim, Andrea B Troxel, 2010, Statistics in medicine.

Global identifiability of latent class models with applications to diagnostic test accuracy studies: A Gröbner basis approach

Joseph G Ibrahim, Haitao Chu, Daniel O Scharfstein, 2019, Biometrics.

Bayesian Design of Noninferiority Trials for Medical Devices Using Historical Data

Joseph G Ibrahim, Peter Lam, Ming-Hui Chen, 2011, Biometrics.

The effects of nonignorable missing data on label-free mass spectrometry proteomics experiments.

Joseph G Ibrahim, Steven P Gygi, Xian Chen, 2018, The annals of applied statistics.

Partial least squares for functional joint models with applications to the Alzheimer's disease neuroimaging initiative study.

Yue Wang, Joseph G Ibrahim, Hongtu Zhu, 2020, Biometrics.

Bayesian Influence Measures for Joint Models for Longitudinal and Survival Data

Hongtu Zhu, Joseph G Ibrahim, Yueh-Yun Chi, 2012, Biometrics.

The power prior: theory and applications

Joseph G Ibrahim, Fang Chen, Ming-Hui Chen, 2015, Statistics in medicine.

Bayesian Case Influence Measures for Statistical Models With Missing Data

Hongtu Zhu, Joseph G Ibrahim, Niansheng Tang, 2012, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Some Statistical Strategies for DAE-seq Data Analysis: Variable Selection and Modeling Dependencies Among Observations

Joseph G Ibrahim, Wei Sun, Naim U Rashid, 2014, Journal of the American Statistical Association.

VARIABLE SELECTION FOR REGRESSION MODELS WITH MISSING DATA.

Hongtu Zhu, Joseph G Ibrahim, Ramon I Garcia, 2010, Statistica Sinica.

Bayesian Methods for a Three–State Model for Rodent Carcinogenicity Studies

Joseph G Ibrahim, Jonathan L French, J. Ibrahim, 2002, Biometrics.

A Bayesian Hidden Markov Model for Motif Discovery Through Joint Modeling of Genomic Sequence and ChIP‐Chip Data

Joseph G Ibrahim, Mayetri Gupta, Jonathan A L Gelfond, 2009, Biometrics.

Bayesian multivariate skew meta-regression models for individual patient data

Joseph G Ibrahim, Ming-Hui Chen, Sungduk Kim, 2018, Statistical methods in medical research.

Sample Size Determination in Shared Frailty Models for Multivariate Time-to-Event Data

Joseph G Ibrahim, Haitao Chu, Liddy M Chen, 2014, Journal of biopharmaceutical statistics.

Improved detection of epigenomic marks with mixed‐effects hidden Markov models

Joseph G Ibrahim, Pedro L Baldoni, Naim U Rashid, 2019, Biometrics.

Meta‐analysis methods and models with applications in evaluation of cholesterol‐lowering drugs

Joseph G Ibrahim, Ming-Hui Chen, Jianxin Lin, 2012, Statistics in medicine.

Bayesian design of clinical trials using joint models for longitudinal and time-to-event data.

Joseph G Ibrahim, Matthew A Psioda, Jiawei Xu, 2020, Biostatistics.

The Use of Bayesian Hierarchical Models for Adaptive Randomization in Biomarker-Driven Phase II Studies

Joseph G Ibrahim, William T Barry, Charles M Perou, 2015, Journal of biopharmaceutical statistics.

On inference of control-based imputation for analysis of repeated binary outcomes with missing data

Joseph G Ibrahim, Donglin Zeng, Fei Gao, 2017, Journal of biopharmaceutical statistics.

Bayesian Design of Biosimilars Clinical Programs Involving Multiple Therapeutic Indications.

Joseph G Ibrahim, Matthew A Psioda, Yang Zhang, 2019, Biometrics.

Bayesian design of a survival trial with a cured fraction using historical data.

Joseph G Ibrahim, Matthew A Psioda, 2018, Statistics in medicine.

Flexible Stopping Boundaries When Changing Primary Endpoints After Unblinded Interim Analyses

Joseph G Ibrahim, Haitao Chu, Liddy M Chen, 2014, Journal of biopharmaceutical statistics.

Bayesian adaptive basket trial design using model averaging.

Joseph G Ibrahim, Qi Jiang, Matthew A Psioda, 2019, Biostatistics.

Multiscale adaptive regression models for neuroimaging data

Dinggang Shen, Hongtu Zhu, Joseph G Ibrahim, 2011, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Joint modeling of survival and longitudinal non‐survival data: current methods and issues. Report of the DIA Bayesian joint modeling working group

Joseph G Ibrahim, Michael J Crowther, George Quartey, 2015, Statistics in medicine.

A new Bayesian joint model for longitudinal count data with many zeros, intermittent missingness, and dropout with applications to HIV prevention trials

Joseph G Ibrahim, Ming-Hui Chen, Elizabeth D Schifano, 2019, Statistics in medicine.

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

Joseph G Ibrahim, Michael I Love, Anqi Zhu, 2018, bioRxiv.

Modeling event count data in the presence of informative dropout with application to bleeding and transfusion events in myelodysplastic syndrome

Joseph G Ibrahim, Donglin Zeng, Kuolung Hu, 2017, Statistics in medicine.

A Bayesian hierarchical model for network meta‐analysis of multiple diagnostic tests

Joseph G Ibrahim, Qinshu Lian, Haitao Chu, 2018, Biostatistics.

A note on the relationships between multiple imputation, maximum likelihood and fully Bayesian methods for missing responses in linear regression models.

Joseph G Ibrahim, Qingxia Chen, J. Ibrahim, 2014, Statistics and its interface.

Bayesian Modeling and Inference for Nonignorably Missing Longitudinal Binary Response Data with Applications to HIV Prevention Trials.

Joseph G Ibrahim, Ming-Hui Chen, Jing Wu, 2018, Statistica Sinica.

Bayesian inference for multivariate meta‐analysis Box–Cox transformation models for individual patient data with applications to evaluation of cholesterol‐lowering drugs

Joseph G Ibrahim, Ming-Hui Chen, Sungduk Kim, 2013, Statistics in medicine.

JMFit: A SAS Macro for Joint Models of Longitudinal and Survival Data.

Wei Shen, Joseph G Ibrahim, Ming-Hui Chen, 2016, Journal of statistical software.

Bayesian Hierarchical Modeling for Time Course Microarray Experiments

Joseph G Ibrahim, Yueh-Yun Chi, Anika Bissahoyo, 2007, Biometrics.

Bayesian Model Assessment in Joint Modeling of Longitudinal and Survival Data With Applications to Cancer Clinical Trials

Wei Shen, Joseph G Ibrahim, Ming-Hui Chen, 2017, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

Assessing model fit in joint models of longitudinal and survival data with applications to cancer clinical trials

Wei Shen, Joseph G Ibrahim, Ming-Hui Chen, 2014, Statistics in medicine.

Intrinsic Regression Models for Manifold-Valued Data.

Martin Styner, Hongtu Zhu, Joseph G Ibrahim, 2009, Journal of the American Statistical Association.

Properties and Implementation of Jeffreys’s Prior in Binomial Regression Models

Joseph G Ibrahim, Ming-Hui Chen, Sungduk Kim, 2008, Journal of the American Statistical Association.

A Bayesian Hierarchical Model for the Analysis of Affymetrix Arrays

Joseph G Ibrahim, Mahlet G Tadesse, J. Ibrahim, 2004, Annals of the New York Academy of Sciences.

Parameter Estimation in Longitudinal Studies with Outcome‐Dependent Follow‐Up

Joseph G Ibrahim, Stuart R Lipsitz, Garrett M Fitzmaurice, 2002, Biometrics.

Bayesian Case Influence Diagnostics for Survival Models

Hongtu Zhu, Joseph G Ibrahim, Debajyoti Sinha, 2009, Biometrics.

A new class of mixture models for differential gene expression in DNA microarray data.

Joseph G Ibrahim, Yueh-Yun Chi, Ming-Hui Chen, 2008, Journal of statistical planning and inference.

Missing data in clinical studies: issues and methods.

Joseph G Ibrahim, Haitao Chu, Ming-Hui Chen, 2012, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Estimation in regression models for longitudinal binary data with outcome-dependent follow-up.

Joseph G Ibrahim, Stuart R Lipsitz, Garrett M Fitzmaurice, 2005, Biostatistics.

Bayesian Analysis for Generalized Linear Models with Nonignorably Missing Covariates

Joseph G Ibrahim, Ming-Hui Chen, J. Ibrahim, 2005, Biometrics.

Bayesian Error‐in‐Variable Survival Model for the Analysis of GeneChip Arrays

Joseph G Ibrahim, Robert Gentleman, Mahlet G Tadesse, 2005, Biometrics.

PERTURBATION AND SCALED COOK'S DISTANCE.

Hongtu Zhu, Joseph G Ibrahim, Hyunsoon Cho, 2012, Annals of statistics.

Quantifying the average of the time-varying hazard ratio via a class of transformations

Joseph G Ibrahim, Qingxia Chen, Donglin Zeng, 2015, Lifetime data analysis.

A class of Bayesian shared gamma frailty models with multivariate failure time data.

Joseph G Ibrahim, Guosheng Yin, J. Ibrahim, 2005, Biometrics.

Estimating time-varying effects for overdispersed recurrent events data with treatment switching.

Joseph G Ibrahim, Qingxia Chen, Heinz Schmidli, 2013, Biometrika.

Bayesian Approaches to Joint Cure‐Rate and Longitudinal Models with Applications to Cancer Vaccine Trials

Joseph G Ibrahim, J. Ibrahim, E. Brown, 2003, Biometrics.

Estimating treatment effects with treatment switching via semicompeting risks models: an application to a colorectal cancer study.

Joseph G Ibrahim, Qingxia Chen, Donglin Zeng, 2012, Biometrika.

Joint Models for Multivariate Longitudinal and Multivariate Survival Data

Joseph G Ibrahim, Yueh-Yun Chi, J. Ibrahim, 2006, Biometrics.

Functional‐Mixed Effects Models for Candidate Genetic Mapping in Imaging Genetic Studies

Hongtu Zhu, Joseph G Ibrahim, Wei Sun, 2014, Genetic epidemiology.

Theory and Inference for Regression Models with Missing Responses and Covariates.

Joseph G Ibrahim, Qingxia Chen, Ming-Hui Chen, 2008, Journal of multivariate analysis.

A Note on Permutation Tests for Variance Components in Multilevel Generalized Linear Mixed Models

Joseph G Ibrahim, Stuart R Lipsitz, Garrett M Fitzmaurice, 2007, Biometrics.

FLCRM: Functional linear cox regression model

Joseph G Ibrahim, Dehan Kong, Eunjee Lee, 2018, Biometrics.

Frailty models with missing covariates.

Joseph G Ibrahim, Amy H Herring, Stuart R Lipsitz, 2002, Biometrics.

Control-based imputation for sensitivity analyses in informative censoring for recurrent event data.

Joseph G Ibrahim, Donglin Zeng, Fei Gao, 2017, Pharmaceutical statistics.

UGT1A1*28 genotype and irinotecan-induced neutropenia: dose matters.

Joseph G Ibrahim, Howard L McLeod, J. Ibrahim, 2007, Journal of the National Cancer Institute.

On the estimation of disease prevalence by latent class models for screening studies using two screening tests with categorical disease status verified in test positives only

Joseph G Ibrahim, Haitao Chu, Stephen R Cole, 2010, Statistics in Medicine.

Bayesian design of superiority clinical trials for recurrent events data with applications to bleeding and transfusion events in myelodyplastic syndrome.

Joseph G Ibrahim, Donglin Zeng, Kuolung Hu, 2014, Biometrics.

Basic concepts and methods for joint models of longitudinal and survival data.

Joseph G Ibrahim, Haitao Chu, H. Chu, 2010, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Joint modeling of longitudinal and survival data with missing and left‐censored time‐varying covariates

Joseph G Ibrahim, Qingxia Chen, Haitao Chu, 2014, Statistics in medicine.

Rejoinder on: Missing data methods in longitudinal studies: a review

Geert Molenberghs, Joseph G Ibrahim, 2009, Test.

Nonparametric expression analysis using inferential replicate counts

Joseph G Ibrahim, Avi Srivastava, Rob Patro, 2019, bioRxiv.

A temporal hidden Markov regression model for the analysis of gene regulatory networks.

Joseph G Ibrahim, Mayetri Gupta, J. Ibrahim, 2007, Biostatistics.

Wavelet Thresholding with Bayesian False Discovery Rate Control

Marina Vannucci, Joseph G Ibrahim, Robert Gentleman, 2005, Biometrics.

An Information Matrix Prior for Bayesian Analysis in Generalized Linear Models with High Dimensional Data.

Joseph G Ibrahim, Mayetri Gupta, J. Ibrahim, 2009, Statistica Sinica.

Regression models on Riemannian symmetric spaces

Hongtu Zhu, Joseph G Ibrahim, Emil A. Cornea, 2017, Journal of the Royal Statistical Society. Series B, Statistical methodology.

A Counterfactual P-Value Approach for Benefit-Risk Assessment in Clinical Trials

Joseph G Ibrahim, Qi Jiang, Donglin Zeng, 2015, Journal of biopharmaceutical statistics.

Projection Regression Models for Multivariate Imaging Phenotype

Martin Styner, Hongtu Zhu, Joseph G Ibrahim, 2012, Genetic epidemiology.

Postdiagnosis Change in Bodyweight and Survival After Breast Cancer Diagnosis

Joseph G Ibrahim, June Stevens, Marilie D Gammon, 2012, Epidemiology.

Bayesian gamma frailty models for survival data with semi-competing risks and treatment switching

Joseph G Ibrahim, Qingxia Chen, Donglin Zeng, 2014, Lifetime data analysis.

The Bayesian Covariance Lasso.

Hongtu Zhu, Joseph G Ibrahim, Weili Lin, 2013, Statistics and its interface.

Bayesian methods in clinical trials: a Bayesian analysis of ECOG trials E1684 and E1690

Joseph G Ibrahim, Haitao Chu, Ming-Hui Chen, 2012, BMC Medical Research Methodology.

Estimation and inference for case-control studies with multiple non-gold standard exposure assessments: with an occupational health application.

Joseph G Ibrahim, Haitao Chu, Stephen R Cole, 2009, Biostatistics.

A weighted estimating equation for linear regression with missing covariate data

Joseph G Ibrahim, Stuart R Lipsitz, Michael Parzen, 2002, Statistics in medicine.

Heritability of Regional Brain Volumes in Large-Scale Neuroimaging and Genetic Studies.

Hongtu Zhu, Joseph G Ibrahim, Fan Zhou, 2018, Cerebral cortex.

A General Class of Bayesian Survival Models with Zero and Nonzero Cure Fractions

Joseph G Ibrahim, Guosheng Yin, J. Ibrahim, 2005, Biometrics.

Bayesian Meta‐Experimental Design: Evaluating Cardiovascular Risk in New Antidiabetic Therapies to Treat Type 2 Diabetes

Joseph G Ibrahim, Ming-Hui Chen, H Amy Xia, 2012, Biometrics.

Gamma frailty transformation models for multivariate survival times.

Joseph G Ibrahim, Qingxia Chen, Donglin Zeng, 2009, Biometrika.

Intrinsic Regression Models for Positive-Definite Matrices With Applications to Diffusion Tensor Imaging

Hongtu Zhu, Joseph G Ibrahim, Weili Lin, 2009, Journal of the American Statistical Association.

Local Influence for Generalized Linear Models with Missing Covariates

Joseph G Ibrahim, Xiaoyan Shi, J. Ibrahim, 2009, Biometrics.

Bayesian Variable Selection and Computation for Generalized Linear Models with Conjugate Priors.

Joseph G Ibrahim, Ming-Hui Chen, Sungduk Kim, 2008, Bayesian analysis.

Bayesian Lasso for Semiparametric Structural Equation Models

Hongtu Zhu, Joseph G Ibrahim, Sy-Miin Chow, 2012, Biometrics.

Maximum Likelihood Methods for Nonignorable Missing Responses and Covariates in Random Effects Models

Joseph G Ibrahim, J. Ibrahim, Amy L. Stubbendick, 2003, Biometrics.

TPRM: TENSOR PARTITION REGRESSION MODELS WITH APPLICATIONS IN IMAGING BIOMARKER DETECTION.

Hongtu Zhu, Joseph G Ibrahim, Michelle F. Miranda, 2015, The annals of applied statistics.