Joseph G. Ibrahim, PhD
Co-Principal Investigator, Project 2 Leader
Alumni Distinguished Professor of Biostatistics, Director of Graduate Studies
ibrahim@bios.unc.edu
UNC Profile
Phone: (919) 843-2715 Fax: (919) 966-3804
University of North Carolina at Chapel Hill

3109 McGavran-Greenberg Hall
CB 7420
Chapel Hill, NC 27599-7420

Dr. Ibrahim is Alumni Distinguished Professor of Biostatistics, Professor of Statistics and Operations Research, and Member of the Lineberger Comprehensive Cancer Center at the University of North Carolina at Chapel Hill. Dr. Ibrahim's areas of research focus are Bayesian inference, missing data problems, clinical trials, and cancer genomics, and is Project Director/Principal Investigator of two NIH grants for developing statistical methodology related to cancer and genomics research. Dr. Ibrahim is the Director of the Biostatistics Core at the Lineberger Comprehensive Cancer Center and is the biostatistical core leader of an NIH Specialized Program of Research Excellence grant in breast cancer. With over 25 years experience working in cancer clinical trials, Dr. Ibrahim directs the University of North Carolina Laboratory for Innovative Clinical Trials. He is formerly the Editor of the Journal of the American Statistical Association Applications and Case Studies Section. He has also published two books on Bayesian survival analysis and Monte Carlo methods in Bayesian computation, and is an elected Fellow of the American Statistical Association, the Institute of Mathematical Statistics, and an elected member of the International Statistical Institute.

Committee: Steering
Book Chapter
SAS Macro BSMED: Bayesian survival meta-experimental design using historical data., Ibrahim JG, Gwon Y, Chen MH, Pharmaceutical Statistics Using SAS, Cary, (2016)
Bayesian meta-experimental design for evaluating cardiovascular risk., Ibrahim JG, Chen MH, Xia A, Liu T, Henessey V, Quantitative Evaluation if Safety in Drug Development: Design, Analysis and Reporting, Boca Raton, p.13-38. (2014)
Journal Article
Network meta-regression for ordinal outcomes: Applications in comparing Crohn's disease treatments., Gwon Y, Mo M, Chen MH, Chi Z, Li J, Xia AH, Ibrahim JG, Stat Med, 2020 Mar 12, (2020) PubMed
Bayesian design of biosimilars clinical programs involving multiple therapeutic indications., Psioda MA, Hu K, Zhang Y, Pan J, Ibrahim JG, Biometrics, Volume 76, 2020 Jun, Issue 2, p.630-642. (2020) PubMed
Modeling between-study heterogeneity for improved replicability in gene signature selection and clinical prediction., Rashid NU, Li Q, Yeh JJen, Ibrahim JG, J Am Stat Assoc, Volume 115, 2020, Issue 531, p.1125-1138. (2020) PubMed
Bayesian multivariate skew meta-regression models for individual patient data., Ibrahim JG, Kim S, Chen MH, Shah AK, Lin J, Stat Methods Med Res, Volume 28, 2019 Oct-Nov, Issue 10-11, p.3415-3436. (2019) PubMed
Efficient methods for signal detection from correlated adverse events in clinical trials., Diao G, Liu GF, Zeng D, Wang W, Tan X, Heyse JF, Ibrahim JG, Biometrics, Volume 75, 2019 Sep, Issue 3, p.1000-1008. (2019) PubMed
Improved detection of epigenomic marks with mixed effects hidden Markov models., Baldoni PL, Rashid NU, Ibrahim JG, Biometrics, Volume 75, 2019 Dec, Issue 4, p.1401-1413. (2019) PubMed
Bayesian inference for network meta-regression using multivariate random effects with applications to cholesterol lowering drugs., Li H, Chen MH, Ibrahim JG, Kim S, Shah AK, Lin J, Tershakovec AM, Biostatistics, Volume 20, 2019 Jul 01, Issue 3, p.499-516. (2019) PubMed
Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differences., Zhu A, Ibrahim JG, Love MI, Bioinformatics, Volume 35, 2019 Jun 01, Issue 12, p.2084-2092. (2019) PubMed
A new Bayesian joint model for longitudinal count data with many zeros, intermittent missingness, and dropout with applications to HIV prevention trials., Wu J, Chen MH, Schifano ED, Ibrahim JG, Fisher JD, Stat Med, Volume 38, 2019 Dec 30, Issue 30, p.5565-5586. (2019) PubMed
Bayesian clinical trial design using historical data that inform the treatment effect., Psioda MA, Ibrahim JG, Biostatistics, Volume 20, 2019 Jul 01, Issue 3, p.400-415. (2019) PubMed
Bayesian modeling and inference for nonignorably missing longitudinal binary response data with applications to HIV prevention trials., Wu J, Ibrahim JG, Chen MH, Schifano ED, Fisher JD, Stat Sin, Volume 28, 2018 Oct, p.1929-1963. (2018) PubMed
FLCRM: Functional linear Cox regression model., Kong D, Ibrahim JG, Lee E, Zhu H, Biometrics, Volume 74, 2018 Mar, Issue 1, p.109-117. (2018) PubMed
Functional linear regression models for nonignorable missing scalar responses., Li T, Xie F, Feng X, Ibrahim JG, Zhu H, Stat Sin, Volume 28, 2018 Oct, Issue 4, p.1867-1886. (2018) PubMed
Estimating Treatment Effects for recurrent events in the presence of rescue medications: An application to the Immune Thrombocytopenia Study., Gao F, Zeng D, Wei H, Wang X, Ibrahim JG, Stat Biosci, Volume 10, 2018 Aug, Issue 2, p.473-489. (2018) PubMed
A practical Bayesian adaptive design incorporating data from historical controls., Psioda MA, Soukup M, Ibrahim JG, Stat Med, Volume 37, 2018 Nov 30, Issue 27, p.4054-4070. (2018) PubMed
Biomarker threshold adaptive designs for survival endpoints., Diao G, Dong J, Zeng D, Ke C, Rong A, Ibrahim JG, J Biopharm Stat, Volume 28, 2018, Issue 6, p.1038-1054. (2018) PubMed
Bayesian design of a survival trial with a cured fraction using historical data., Psioda MA, Ibrahim JG, Stat Med, Volume 37, 2018 Nov 20, Issue 26, p.3814-3831. (2018) PubMed
Bayesian model assessment in joint modeling of longitudinal and survival data with applications to cancer clinical trials., Zhang D, Chen MH, Ibrahim JG, Boye ME, Shen W, J Comput Graph Stat, Volume 26, 2017, Issue 1, p.121-133. (2017) PubMed
Bayesian clinical trial design using Markov models with applications to autoimmune disease., Eggleston BS, Ibrahim JG, Catellier D, Contemp Clin Trials, Volume 63, 2017 Dec, p.73-83. (2017) PubMed
Regression models on Riemannian symmetric spaces., Cornea E, Zhu H, Kim P, Ibrahim JG, J R Stat Soc Series B Stat Methodol, Volume 79, 2017 Mar, Issue 2, p.463-482. (2017) PubMed
Pattern mixture models for clinical validation of biomarkers in the presence of missing data., Gao F, Dong J, Zeng D, Rong A, Ibrahim JG, Stat Med, Volume 36, 2017 Aug 30, Issue 19, p.2994-3004. (2017) PubMed
Statistical design of noninferiority multiple region clinical trials to assess global and consistent treatment effects., Diao G, Zeng D, Ibrahim JG, Rong A, Lee O, Zhang K, Chen Q, J Biopharm Stat, Volume 27, 2017, Issue 6, p.933-944. (2017) PubMed
Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studies., Lu ZH, Khondker Z, Ibrahim JG, Wang Y, Zhu H, Neuroimage, Volume 149, 2017 Apr 01, p.305-322. (2017) PubMed
JMFit: A SAS macro for joint models of longitudinal and survival data., Zhang D, Chen MH, Ibrahim JG, Boye ME, Shen W, J Stat Softw, Volume 71, 2016 Jul, Issue 3, (2016) PubMed
SR-HARDI: Spatially regularizing high angular resolution diffusion imaging., Rao S, Ibrahim JG, Cheng J, Yap PT, Zhu H, J Comput Graph Stat, Volume 25, 2016, Issue 4, p.1195-1211. (2016) PubMed
Quantifying the average of the time-varying hazard ratio via a class of transformations., Chen Q, Zeng D, Ibrahim JG, Chen MH, Pan Z, Xue X, Lifetime Data Anal, Volume 21, 2015 Apr, Issue 2, p.259-79. (2015) PubMed
SPReM: Sparse projection regression model for high-dimensional linear regression., Sun Q, Zhu H, Liu Y, Ibrahim JG, J Am Stat Assoc, Volume 110, 2015, Issue 509, p.289-302. (2015) PubMed
Bayesian probability of success for clinical trials using historical data., Ibrahim JG, Chen MH, Lakshminarayanan M, Liu GF, Heyse JF, Stat Med, Volume 34, 2015 Jan 30, Issue 2, p.249-64. (2015) PubMed
Responses to discussants of 'Joint modeling of survival and longitudinal non-survival data: current methods and issues. report of the DIA Bayesian joint modeling working group'., Gould L, Boye MErnest, Crowther MJ, Ibrahim JG, Quartey G, Micallef S, Bois FY, Stat Med, Volume 34, 2015 Jun 30, Issue 14, p.2202-3. (2015) PubMed
A counterfactual p-value approach for benefit-risk assessment in clinical trials., Zeng D, Chen MH, Ibrahim JG, Wei R, Ding B, Ke C, Jiang Q, J Biopharm Stat, Volume 25, 2015, Issue 3, p.508-24. (2015) PubMed
Diagnostic measures for the Cox regression model with missing covariates., Zhu H, Ibrahim JG, Chen MH, Biometrika, Volume 102, 2015 Dec, Issue 4, p.907-923. (2015) PubMed
The power prior: Theory and applications., Ibrahim JG, Chen MH, Gwon Y, Chen F, Stat Med, Volume 34, 2015 Dec 10, Issue 28, p.3724-49. (2015) PubMed
Joint modeling of survival and longitudinal non-survival data: current methods and issues. Report of the DIA Bayesian joint modeling working group., Gould L, Boye MErnest, Crowther MJ, Ibrahim JG, Quartey G, Micallef S, Bois FY, Stat Med, Volume 34, 2015 Jun 30, Issue 14, p.2181-95. (2015) PubMed
BFLCRM: A Bayesian functional linear Cox regression model for predicting time to conversion to Alzheimer's disease., Lee E, Zhu H, Kong D, Wang Y, Giovanello KSullivan, Ibrahim JG, Ann Appl Stat, Volume 9, 2015 Dec, Issue 4, p.2153-2178. (2015) PubMed
Bayesian inference for multivariate meta-regression with a partially observed within-study sample covariance matrix., Yao H, Kim S, Chen MH, Ibrahim JG, Shah AK, Lin J, J Am Stat Assoc, Volume 110, 2015 Jun, Issue 510, p.528-544. (2015) PubMed
Assessing temporal agreement between central and local progression-free survival times., Zeng D, Cornea E, Dong J, Pan J, Ibrahim JG, Stat Med, Volume 34, 2015 Feb 28, Issue 5, p.844-58. (2015) PubMed
Hypothesis testing for two-stage designs with over or under enrollment., Zeng D, Gao F, Hu K, Jia C, Ibrahim JG, Stat Med, Volume 34, 2015 Jul 20, Issue 16, p.2417-26. (2015) PubMed
The use of Bayesian hierarchical models for adaptive randomization in biomarker-driven phase II studies., Barry WT, Perou CM, Marcom K, Carey LA, Ibrahim JG, J Biopharm Stat, Volume 25, 2015, Issue 1, p.66-88. (2015) PubMed
Bayesian case-deletion model complexity and information criterion., Zhu H, Ibrahim JG, Chen Q, Stat Interface, Volume 7, 2014 Oct 01, Issue 4, p.531-542. (2014) PubMed
Multivariate recurrent events in the presence of multivariate informative censoring with applications to bleeding and transfusion events in myelodysplastic syndrome., Zeng D, Ibrahim JG, Chen MH, Hu K, Jia C, J Biopharm Stat, Volume 24, 2014, Issue 2, p.429-42. (2014) PubMed
Use of historical control data for assessing treatment effects in clinical trials., Viele K, Berry S, Neuenschwander B, Amzal B, Chen F, Enas N, Hobbs B, Ibrahim JG, Kinnersley N, Lindborg S, Micallef S, Roychoudhury S, Thompson L, Pharm Stat, Volume 13, 2014 Jan-Feb, Issue 1, p.41-54. (2014) PubMed
Functional-mixed effects models for candidate genetic mapping in imaging genetic studies., Lin Jan, Zhu H, Mihye A, Sun W, Ibrahim JG, Genet Epidemiol, Volume 38, 2014 Dec, Issue 8, p.680-91. (2014) PubMed
Joint modeling of longitudinal and survival data with missing and left-censored time-varying covariates., Chen Q, May RC, Ibrahim JG, Chu H, Cole SR, Stat Med, Volume 33, 2014 Nov 20, Issue 26, p.4560-76. (2014) PubMed
Sample size determination in shared frailty models for multivariate time-to-event data., Chen LM, Ibrahim JG, Chu H, J Biopharm Stat, Volume 24, 2014, Issue 4, p.908-23. (2014) PubMed
Assessing model fit in joint models of longitudinal and survival data with applications to cancer clinical trials., Zhang D, Chen MH, Ibrahim JG, Boye ME, Wang P, Shen W, Stat Med, Volume 33, 2014 Nov 30, Issue 27, p.4715-33. (2014) PubMed
Flexible stopping boundaries when changing primary endpoints after unblinded interim analyses., Chen LM, Ibrahim JG, Chu H, J Biopharm Stat, Volume 24, 2014, Issue 4, p.817-33. (2014) PubMed
Bayesian sequential meta-analysis design in evaluating cardiovascular risk in a new antidiabetic drug development program., Chen MH, Ibrahim JG, Xia A, Liu T, Hennessey V, Stat Med, Volume 33, 2014 Apr 30, Issue 9, p.1600-18. (2014) PubMed
Bayesian generalized low rank regression models for neuroimaging phenotypes and genetic markers., Zhu H, Khondker Z, Lu Z, Ibrahim JG, J Am Stat Assoc, Volume 109, 2014, Issue 507, p.997-990. (2014) PubMed
Bayesian gamma frailty models for survival data with semi-competing risks and treatment switching., Zhang Y, Chen MH, Ibrahim JG, Zeng D, Chen Q, Pan Z, Xue X, Lifetime Data Anal, Volume 20, 2014 Jan, Issue 1, p.76-105. (2014) PubMed
Bayesian transformation models for multivariate survival data., DE Castro M, Chen MH, Ibrahim JG, Klein JP, Scand Stat Theory Appl, Volume 41, 2014 Mar, Issue 1, p.187-199. (2014) PubMed
Bayesian sensitivity analysis of statistical models with missing data., Zhu H, Ibrahim JG, Tang N, Stat Sin, Volume 24, 2014 Apr, Issue 2, p.871-896. (2014) PubMed
Bayesian design of superiority clinical trials for recurrent events data with applications to bleeding and transfusion events in myelodyplastic syndrome., Chen MH, Ibrahim JG, Zeng D, Hu K, Jia C, Biometrics, Volume 70, 2014 Dec, Issue 4, p.1003-13. (2014) PubMed
Bayesian spatial transformation models with applications in neuroimaging data., Miranda MF, Zhu H, Ibrahim JG, Biometrics, Volume 69, 2013 Dec, Issue 4, p.1074-83. (2013) PubMed
Estimating time-varying effects for overdispersed recurrent events data with treatment switching., Chen Q, Zeng D, Ibrahim JG, Akacha M, Schmidli H, Biometrika, Volume 100, 2013, Issue 2, p.339-354. (2013) PubMed
Bayesian modeling and inference for clinical trials with partial retrieved data following dropout., Chen Q, Chen MH, Ohlssen D, Ibrahim JG, Stat Med, Volume 32, 2013 Oct 30, Issue 24, p.4180-95. (2013) PubMed
Bayesian inference for multivariate meta-analysis Box-Cox transformation models for individual patient data with applications to evaluation of cholesterol-lowering drugs., Kim S, Chen MH, Ibrahim JG, Shah AK, Lin J, Stat Med, Volume 32, 2013 Oct 15, Issue 23, p.3972-90. (2013) PubMed
Meta-analysis methods and models with applications in evaluation of cholesterol-lowering drugs., Chen MH, Ibrahim JG, Shah AK, Lin J, Yao H, Stat Med, Volume 31, 2012 Dec 10, Issue 28, p.3597-616. (2012) PubMed
Assessing Similarity to Existing Drugs to Decide Whether to Continue Drug Development., Ma GJulie, Chi E, Ibrahim JG, Parker RA, Stat Biopharm Res, Volume 4, 2012 Jan 01, Issue 3, p.293-300. (2012) PubMed
Bayesian methods in clinical trials: A Bayesian analysis of ECOG trials E1684 and E1690., Ibrahim JG, Chen MH, Chu H, BMC Med Res Methodol, Volume 12, 2012 Nov 29, p.183. (2012) PubMed
Bayesian meta-experimental design: evaluating cardiovascular risk in new antidiabetic therapies to treat type 2 diabetes., Ibrahim JG, Chen MH, Xia A, Liu T, Biometrics, Volume 68, 2012 Jun, Issue 2, p.578-86. (2012) PubMed
Bayesian influence measures for joint models for longitudinal and survival data., Zhu H, Ibrahim JG, Chi YY, Tang N, Biometrics, Volume 68, 2012 Sep, Issue 3, p.954-64. (2012) PubMed
Perturbation and scaled Cook's distance., Zhu H, Ibrahim JG, Cho H, Ann Stat, Volume 40, 2012, Issue 2, p.785-811. (2012) PubMed
Intrinsic regression models for medial representation of subcortical structures., Shi X, Zhu H, Ibrahim JG, Liang F, Lieberman J, Styner M, J Am Stat Assoc, Volume 107, 2012 Mar 01, Issue 497, p.12-23. (2012) PubMed
Missing data in clinical studies: Issues and methods., Ibrahim JG, Chu H, Chen MH, J Clin Oncol, Volume 30, 2012 Sep 10, Issue 26, p.3297-303. (2012) PubMed
Bayesian case influence measures for statistical models with missing data., Zhu H, Ibrahim JG, Cho H, Tang N, J Comput Graph Stat, Volume 21, 2012, Issue 1, p.253-271. (2012) PubMed
Bayesian lasso for semiparametric structural equation models., Guo R, Zhu H, Chow SM, Ibrahim JG, Biometrics, Volume 68, 2012 Jun, Issue 2, p.567-77. (2012) PubMed
Estimating treatment effects with treatment switching via semicompeting risks models: an application to a colorectal cancer study., Zeng D, Chen Q, Chen MH, Ibrahim JG, Biometrika, Volume 99, 2012 Mar, Issue 1, p.167-184. (2012) PubMed
Bayesian design of noninferiority trials for medical devices using historical data., Chen MH, Ibrahim JG, Lam P, Yu A, Zhang Y, Biometrics, Volume 67, 2011 Sep, Issue 3, p.1163-70. (2011) PubMed
Maximum likelihood estimation in generalized linear models with multiple covariates subject to detection limits., May RC, Ibrahim JG, Chu H, Stat Med, Volume 30, 2011 Sep 10, Issue 20, p.2551-61. (2011) PubMed
Multiscale adaptive regression models for neuroimaging data., Li Y, Zhu H, Shen D, Lin W, Gilmore JH, Ibrahim JG, J R Stat Soc Series B Stat Methodol, Volume 73, 2011 Sep, Issue 4, p.559-578. (2011) PubMed
Fixed and random effects selection in mixed effects models., Ibrahim JG, Zhu H, Garcia RI, Guo R, Biometrics, Volume 67, 2011 Jun, Issue 2, p.495-503. (2011) PubMed
Sample size and power determination in joint modeling of longitudinal and survival data., Chen LM, Ibrahim JG, Chu H, Stat Med, Volume 30, 2011 Aug 15, Issue 18, p.2295-309. (2011) PubMed
Bayesian influence analysis: A geometric approach., Zhu H, Ibrahim JG, Tang N, Biometrika, Volume 98, 2011 Jun, Issue 2, p.307-323. (2011) PubMed
Basic concepts and methods for joint models of longitudinal and survival data., Ibrahim JG, Chu H, Chen LM, J Clin Oncol, Volume 28, 2010 Jun 01, Issue 16, p.2796-801. (2010) PubMed
Presentation
Ibrahim JG, (2016)
Software
Zhu A, Ibrahim JG, Love MI, (2018)
Eggleston BS, Wilson D, McNeil B, Ibrahim JG, Catellier D, (2018)
Diao G, Dong J, Zeng D, Ibrahim JG, (2018)
Ibrahim JG, Psioda M, (2017) Package icon simulation_programs.zip
Ibrahim JG, Psioda M, (2017) Package icon cure.rate_.software.zip
binDesignPP: Bayesian sample size for non-inferiority randomized trials with binary data with power prior (SAS)., Psioda M, Ibrahim JG, (2016) Package icon Bayesian-non-inferiority-binomial-design.zip
BetaBinPredProb: Compute predictive probabilities in Bayesian design for phase IIA trials in a beta-binomial case (SAS)., Psioda M, Ibrahim JG, (2016)
normDesignPP: Bayesian sample size for non-inferiority randomized trials with normal data with power prior (SAS)., Psioda M, Ibrahim JG, (2016) Package icon Bayesian-non-inferiority-normal-design.zip
binDesign: Bayesian sample size for non-inferiority randomized trials with binary data (SAS)., Psioda M, Ibrahim JG, (2016) Package icon Bayesian-non-inferiority-binomial-design.zip
fitRE: Bayesian superiority design for gamma frailty recurrent events model (SAS)., Psioda M, Ibrahim JG, (2016) Package icon Bayesian-superiority-recurrent-events-design.zip
MultiARMSBinary: Simulates Bayes adaptive randomization of multiple arms in a beta-binomial simulation (SAS)., Psioda M, Ibrahim JG, (2016)
Cornea E, Zhu H, Kim P, Ibrahim JG, (2016)
normDesign: Bayesian sample size for non-inferiority randomized trials with normal data (SAS)., Psioda M, Ibrahim JG, (2016) Package icon Bayesian-non-inferiority-normal-design.zip
design_biomAR: Bayes adaptive randomization for the probit model (SAS)., Psioda M, Ibrahim JG, (2016) Package icon Bayesian-AR-biomarker-design.zip
NormalMean_BSS: Calculates the Bayesian sample size based on ACC, ALC, and WOC for normal model (SAS)., Psioda M, Ibrahim JG, (2016)
BPower: Computes two versions of Bayesian power for normal models (SAS)., Psioda M, Ibrahim JG, (2016)
BSMED: Bayesian survival meta-experimental design using historical data (SAS)., Ibrahim JG, Gwon Y, Chen MH, (2015)
Power calculations and confidence intervals in phase II design with over enrollment (SAS/R)., Gao F, Zeng D, Ibrahim JG, (2014)
JMfit - For fitting joint models for longitudinal and survival data (SAS)., Zhang D, Chen MH, Ibrahim JG, p.Updated 08/2015; 06/2016. (2014) Package icon Zip File update 06/2016
Macros for missing data (SAS)., Ibrahim JG, Lipsitz S, (2014)
Perturbation and scaled Cook's distance (C++/Matlab)., Zhu H, Ibrahim JG, Cho H, (2012)
CR: Power calculation for weighted log-rank tests in cure rate models (R)., Cornea E, Qaqish B, Ibrahim JG, (2012)
JMDesign: Statistical design for joint models of longitudinal and survival data (R)., Cornea E, Chen LM, Qaqish B, Chu H, Ibrahim JG, (2012)
Fixed: Bayesian meta-experimental design (SAS)., Ibrahim JG, Chen MH, Xia A, Liu T, (2012)
Bayesian Lasso for semiparametric structural equation models toolkit (C++)., Guo R, Zhu H, Chow SM, Ibrahim JG, (2011)
Fixed and random effects selection in mixed effects toolkit (R)., Ibrahim JG, Zhu H, Garcia RI, Guo R, (2011)