Publications

Filters: Author is Ibrahim, Joseph G  [Clear All Filters]
2012
Ma, Guoguang Julie, Eric Chi, Joseph G. Ibrahim, and Robert A. Parker. "Assessing Similarity to Existing Drugs to Decide Whether to Continue Drug Development." Stat Biopharm Res 4, no. 3 (2012): 293-300.
Zhu, Hongtu, Joseph G. Ibrahim, Hyunsoon Cho, and Niansheng Tang. "Bayesian Case Influence Measures for Statistical Models with Missing Data." J Comput Graph Stat 21, no. 1 (2012): 253-271.
Zhu, Hongtu, Joseph G. Ibrahim, Yueh-Yun Chi, and Niansheng Tang. "Bayesian influence measures for joint models for longitudinal and survival data." Biometrics 68, no. 3 (2012): 954-64.
Guo, Ruixin, Hongtu Zhu, Sy-Miin Chow, and Joseph G. Ibrahim. "Bayesian lasso for semiparametric structural equation models." Biometrics 68, no. 2 (2012): 567-77.
Ibrahim, Joseph G., Ming-Hui Chen, Amy H Xia, and Thomas Liu. "Bayesian meta-experimental design: evaluating cardiovascular risk in new antidiabetic therapies to treat type 2 diabetes." Biometrics 68, no. 2 (2012): 578-86.
Ibrahim, Joseph G., Ming-Hui Chen, and Haitao Chu. "Bayesian methods in clinical trials: a Bayesian analysis of ECOG trials E1684 and E1690." BMC Med Res Methodol 12 (2012): 183.
Cornea, Emil, Bahjat Qaqish, and Joseph G. Ibrahim. CR: Power calculation for weighted log-rank tests in cure rate models (R).., 2012.
Zeng, Donglin, Qingxia Chen, Ming-Hui Chen, and Joseph G. Ibrahim. "Estimating treatment effects with treatment switching via semicompeting risks models: an application to a colorectal cancer study." Biometrika 99, no. 1 (2012): 167-184.
Ibrahim, Joseph G., Ming-Hui Chen, Amy H Xia, and Thomas Liu. Fixed: Bayesian meta-experimental design (SAS).., 2012.
Shi, Xiaoyan, Hongtu Zhu, Joseph G. Ibrahim, Faming Liang, Jeffrey Lieberman, and Martin Styner. "Intrinsic Regression Models for Medial Representation of Subcortical Structures." J Am Stat Assoc 107, no. 497 (2012): 12-23.
Cornea, Emil, Liddy M. Chen, Bahjat Qaqish, Haitao Chu, and Joseph G. Ibrahim. JMDesign: Statistical design for joint models of longitudinal and survival data (R).. v1.1 ed., 2012.
Chen, Ming-Hui, Joseph G. Ibrahim, Arvind K. Shah, Jianxin Lin, and Hui Yao. "Meta-analysis methods and models with applications in evaluation of cholesterol-lowering drugs." Stat Med 31, no. 28 (2012): 3597-616.
Ibrahim, Joseph G., Haitao Chu, and Ming-Hui Chen. "Missing data in clinical studies: issues and methods." J Clin Oncol 30, no. 26 (2012): 3297-303.
Zhu, Hongtu, Joseph G. Ibrahim, and Hyunsoon Cho. "PERTURBATION AND SCALED COOK'S DISTANCE." Ann Stat 40, no. 2 (2012): 785-811.
Zhu, Hongtu, Joseph G. Ibrahim, and Hyunsoon Cho. Perturbation and scaled Cook's distance (C++/Matlab).., 2012.
2014
Zhang, Danjie, Ming-Hui Chen, Joseph G. Ibrahim, Mark E. Boye, Ping Wang, and Wei Shen. "Assessing model fit in joint models of longitudinal and survival data with applications to cancer clinical trials." Stat Med 33, no. 27 (2014): 4715-33.
Zhu, Hongtu, Joseph G. Ibrahim, and Qingxia Chen. "Bayesian Case-deletion Model Complexity and Information Criterion." Stat Interface 7, no. 4 (2014): 531-542.
Chen, Ming-Hui, Joseph G. Ibrahim, Donglin Zeng, Kuolung Hu, and Catherine Jia. "Bayesian design of superiority clinical trials for recurrent events data with applications to bleeding and transfusion events in myelodyplastic syndrome." Biometrics 70, no. 4 (2014): 1003-13.
Zhang, Yuanye, Ming-Hui Chen, Joseph G. Ibrahim, Donglin Zeng, Qingxia Chen, Zhiying Pan, and Xiaodong Xue. "Bayesian gamma frailty models for survival data with semi-competing risks and treatment switching." Lifetime Data Anal 20, no. 1 (2014): 76-105.
Zhu, Hongtu, Zakaria Khondker, Zhaohua Lu, and Joseph G. Ibrahim. "Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers." J Am Stat Assoc 109, no. 507 (2014): 997-990.
Ibrahim, Joseph G., Ming-Hui Chen, Amy H Xia, Thomas Liu, and V Henessey. "Bayesian meta-experimental design for evaluating cardiovascular risk." In Quantitative Evaluation if Safety in Drug Development: Design, Analysis and Reporting, 13-38. Boca Raton: Chapman & Hall / CRC Press, 2014.
Zhu, Hongtu, Joseph G. Ibrahim, and Niansheng Tang. "Bayesian Sensitivity Analysis of Statistical Models with Missing Data." Stat Sin 24, no. 2 (2014): 871-896.
Chen, Ming-Hui, Joseph G. Ibrahim, Amy H Xia, Thomas Liu, and Violeta Hennessey. "Bayesian sequential meta-analysis design in evaluating cardiovascular risk in a new antidiabetic drug development program." Stat Med 33, no. 9 (2014): 1600-18.
DE Castro, Mário, Ming-Hui Chen, Joseph G. Ibrahim, and John P. Klein. "Bayesian Transformation Models for Multivariate Survival Data." Scand Stat Theory Appl 41, no. 1 (2014): 187-199.
Chen, Liddy M., Joseph G. Ibrahim, and Haitao Chu. "Flexible stopping boundaries when changing primary endpoints after unblinded interim analyses." J Biopharm Stat 24, no. 4 (2014): 817-33.
Lin, Ja-an, Hongtu Zhu, Ahn Mihye, Wei Sun, and Joseph G. Ibrahim. "Functional-mixed effects models for candidate genetic mapping in imaging genetic studies." Genet Epidemiol 38, no. 8 (2014): 680-91.
Zhang, Danjie, Ming-Hui Chen, and Joseph G. Ibrahim. JMfit - For fitting joint models for longitudinal and survival data (SAS)., 2014.
Chen, Qingxia, Ryan C. May, Joseph G. Ibrahim, Haitao Chu, and Stephen R. Cole. "Joint modeling of longitudinal and survival data with missing and left-censored time-varying covariates." Stat Med 33, no. 26 (2014): 4560-76.
Ibrahim, Joseph G., and Stuart Lipsitz. Macros for missing data (SAS).., 2014.
Zeng, Donglin, Joseph G. Ibrahim, Ming-Hui Chen, Kuolung Hu, and Catherine Jia. "Multivariate recurrent events in the presence of multivariate informative censoring with applications to bleeding and transfusion events in myelodysplastic syndrome." J Biopharm Stat 24, no. 2 (2014): 429-42.
Gao, Fei, Donglin Zeng, and Joseph G. Ibrahim. Power calculations and confidence intervals in phase II design with over enrollment (SAS/R).., 2014.
Chen, Liddy M., Joseph G. Ibrahim, and Haitao Chu. "Sample size determination in shared frailty models for multivariate time-to-event data." J Biopharm Stat 24, no. 4 (2014): 908-23.
Viele, Kert, Scott Berry, Beat Neuenschwander, Billy Amzal, Fang Chen, Nathan Enas, Brian Hobbs, Joseph G. Ibrahim, Nelson Kinnersley, Stacy Lindborg et al. "Use of historical control data for assessing treatment effects in clinical trials." Pharm Stat 13, no. 1 (2014): 41-54.
2015
Zeng, Donglin, Emil Cornea, Jun Dong, Jean Pan, and Joseph G. Ibrahim. "Assessing temporal agreement between central and local progression-free survival times." Stat Med 34, no. 5 (2015): 844-58.
Yao, Hui, Sungduk Kim, Ming-Hui Chen, Joseph G. Ibrahim, Arvind K. Shah, and Jianxin Lin. "Bayesian Inference for Multivariate Meta-regression with a Partially Observed Within-Study Sample Covariance Matrix." J Am Stat Assoc 110, no. 510 (2015): 528-544.
Ibrahim, Joseph G., Ming-Hui Chen, Mani Lakshminarayanan, Guanghan F. Liu, and Joseph F. Heyse. "Bayesian probability of success for clinical trials using historical data." Stat Med 34, no. 2 (2015): 249-64.
Lee, Eunjee, Hongtu Zhu, Dehan Kong, Yalin Wang, Kelly Sullivan Giovanello, and Joseph G. Ibrahim. "BFLCRM: A BAYESIAN FUNCTIONAL LINEAR COX REGRESSION MODEL FOR PREDICTING TIME TO CONVERSION TO ALZHEIMER'S DISEASE." Ann Appl Stat 9, no. 4 (2015): 2153-2178.
Ibrahim, Joseph G., Yeongjin Gwon, and Ming-Hui Chen. BSMED: Bayesian survival meta-experimental design using historical data (SAS).. 1.0 ed., 2015.
Zeng, Donglin, Ming-Hui Chen, Joseph G. Ibrahim, Rachel Wei, Beiying Ding, Chunlei Ke, and Qi Jiang. "A counterfactual p-value approach for benefit-risk assessment in clinical trials." J Biopharm Stat 25, no. 3 (2015): 508-24.
Zhu, Hongtu, Joseph G. Ibrahim, and Ming-Hui Chen. "Diagnostic Measures for the Cox Regression Model with Missing Covariates." Biometrika 102, no. 4 (2015): 907-923.
Zeng, Donglin, Fei Gao, Kuolung Hu, Catherine Jia, and Joseph G. Ibrahim. "Hypothesis testing for two-stage designs with over or under enrollment." Stat Med 34, no. 16 (2015): 2417-26.
A Gould, Lawrence, Mark Ernest Boye, Michael J. Crowther, Joseph G. Ibrahim, George Quartey, Sandrine Micallef, and Frederic Y. Bois. "Joint modeling of survival and longitudinal non-survival data: current methods and issues. Report of the DIA Bayesian joint modeling working group." Stat Med 34, no. 14 (2015): 2181-95.
Ibrahim, Joseph G., Ming-Hui Chen, Yeongjin Gwon, and Fang Chen. "The power prior: theory and applications." Stat Med 34, no. 28 (2015): 3724-49.
Chen, Qingxia, Donglin Zeng, Joseph G. Ibrahim, Ming-Hui Chen, Zhiying Pan, and Xiaodong Xue. "Quantifying the average of the time-varying hazard ratio via a class of transformations." Lifetime Data Anal 21, no. 2 (2015): 259-79.
A Gould, Lawrence, Mark Ernest Boye, Michael J. Crowther, Joseph G. Ibrahim, George Quartey, Sandrine Micallef, and Frederic Y. Bois. "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'." Stat Med 34, no. 14 (2015): 2202-3.
Sun, Qiang, Hongtu Zhu, Yufeng Liu, and Joseph G. Ibrahim. "SPReM: Sparse Projection Regression Model For High-dimensional Linear Regression." J Am Stat Assoc 110, no. 509 (2015): 289-302.
Barry, William T., Charles M. Perou, Kelly P Marcom, Lisa A. Carey, and Joseph G. Ibrahim. "The use of Bayesian hierarchical models for adaptive randomization in biomarker-driven phase II studies." J Biopharm Stat 25, no. 1 (2015): 66-88.
2016
Cornea, Emil, Hongtu Zhu, Peter Kim, and Joseph G. Ibrahim. ADNI_RMRSS: Regression Models on Riemannian Symmetric Spaces (MATLAB)., 2016.
Psioda, Matthew, and Joseph G. Ibrahim. BetaBinPredProb: Compute predictive probabilities in Bayesian design for Phase IIA trials in a beta-binomial case (SAS).., 2016.
Psioda, Matthew, and Joseph G. Ibrahim. binDesign: Bayesian sample size for non-inferiority randomized trials with binary data (SAS).., 2016.
Psioda, Matthew, and Joseph G. Ibrahim. binDesignPP: Bayesian sample size for non-inferiority randomized trials with binary data with power prior (SAS).., 2016.
Psioda, Matthew, and Joseph G. Ibrahim. BPower: Computes two versions of Bayesian power for normal models (SAS).., 2016.
Psioda, Matthew, and Joseph G. Ibrahim. design_biomAR: Bayes adaptive randomization for the probit model (SAS).., 2016.
Psioda, Matthew, and Joseph G. Ibrahim. fitRE: Bayesian superiority design for gamma frailty recurrent events model (SAS).., 2016.
Zhang, Danjie, Ming-Hui Chen, Joseph G. Ibrahim, Mark E. Boye, and Wei Shen. "JMFit: A SAS Macro for Joint Models of Longitudinal and Survival Data." J Stat Softw 71, no. 3 (2016).
Psioda, Matthew, and Joseph G. Ibrahim. MultiARMSBinary: Simulates Bayes adaptive randomization of multiple arms in a beta-binomial simulation (SAS).., 2016.
Ibrahim, Joseph G.. Network Meta-analysis for Ordinal Outcomes: Applications in Comparing Crohn's Disease Treatments., 2016.
Psioda, Matthew, and Joseph G. Ibrahim. NormalMean_BSS: Calculates the Bayesian sample size based on ACC, ALC, and WOC for normal model (SAS).., 2016.
Psioda, Matthew, and Joseph G. Ibrahim. normDesign: Bayesian sample size for non-inferiority randomized trials with normal data (SAS).., 2016.
Psioda, Matthew, and Joseph G. Ibrahim. normDesignPP: Bayesian sample size for non-inferiority randomized trials with normal data with power prior (SAS).., 2016.
Ibrahim, Joseph G., Yeongjin Gwon, and Ming-Hui Chen. "SAS Macro BSMED: Bayesian survival meta-experimental design using historical data." In Pharmaceutical Statistics Using SAS. Cary: SAS Institute Inc, 2016.
Rao, Shangbang, Joseph G. Ibrahim, Jian Cheng, Pew-Thian Yap, and Hongtu Zhu. "SR-HARDI: Spatially Regularizing High Angular Resolution Diffusion Imaging." J Comput Graph Stat 25, no. 4 (2016): 1195-1211.
2017
Eggleston, Barry S., Joseph G. Ibrahim, and Diane Catellier. "Bayesian clinical trial design using Markov models with applications to autoimmune disease." Contemp Clin Trials 63 (2017): 73-83.
Lu, Zhao-Hua, Zakaria Khondker, Joseph G. Ibrahim, Yue Wang, and Hongtu Zhu. "Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studies." Neuroimage 149 (2017): 305-322.
Zhang, Danjie, Ming-Hui Chen, Joseph G. Ibrahim, Mark E. Boye, and Wei Shen. "Bayesian Model Assessment in Joint Modeling of Longitudinal and Survival Data with Applications to Cancer Clinical Trials." J Comput Graph Stat 26, no. 1 (2017): 121-133.
Ibrahim, Joseph G., and Matthew Psioda. BayesProp: Bayesian Clinical Trial Design for Regression Models Using Historical Data (SAS)., 2017.
Ibrahim, Joseph G., and Matthew Psioda. CureBayes: Bayesian phase 3 design using the cure rate model. (SAS and R)., 2017.
Gao, Fei, Jun Dong, Donglin Zeng, Alan Rong, and Joseph G. Ibrahim. "Pattern mixture models for clinical validation of biomarkers in the presence of missing data." Stat Med 36, no. 19 (2017): 2994-3004.
Cornea, Emil, Hongtu Zhu, Peter Kim, and Joseph G. Ibrahim. "Regression Models on Riemannian Symmetric Spaces." J R Stat Soc Series B Stat Methodol 79, no. 2 (2017): 463-482.
Diao, Guoqing, Donglin Zeng, Joseph G. Ibrahim, Alan Rong, Oliver Lee, Kathy Zhang, and Qingxia Chen. "Statistical design of noninferiority multiple region clinical trials to assess global and consistent treatment effects." J Biopharm Stat 27, no. 6 (2017): 933-944.
2018
Zhu, Anqi, Joseph G. Ibrahim, and Michael I. Love. apeglm: Approximate posterior estimation for GLM coefficients (R)., 2018.
Eggleston, Barry S., Doug Wilson, Becky McNeil, Joseph G. Ibrahim, and Diane Catellier. BayesCTDesign: Two Arm Bayesian Clinical Trial Design with and Without Historical Control Data (R)., 2018.
Psioda, Matthew A., and Joseph G. Ibrahim. "Bayesian design of a survival trial with a cured fraction using historical data." Stat Med 37, no. 26 (2018): 3814-3831.
Wu, Jing, Joseph G. Ibrahim, Ming-Hui Chen, Elizabeth D. Schifano, and Jeffrey D. Fisher. "Bayesian Modeling and Inference for Nonignorably Missing Longitudinal Binary Response Data with Applications to HIV Prevention Trials." Stat Sin 28 (2018): 1929-1963.
Diao, Guoqing, Jun Dong, Donglin Zeng, Chunlei Ke, Alan Rong, and Joseph G. Ibrahim. "Biomarker threshold adaptive designs for survival endpoints." J Biopharm Stat 28, no. 6 (2018): 1038-1054.
Diao, Guoqing, Jun Dong, Donglin Zeng, and Joseph G. Ibrahim. BTAD : Biomarker Threshold Adaptive Designs for Survival Endpoints (C++)., 2018.
Gao, Fei, Donglin Zeng, Helen Wei, Xuena Wang, and Joseph G. Ibrahim. "Estimating Treatment Effects for Recurrent Events in the Presence of Rescue Medications: An Application to the Immune Thrombocytopenia Study." Stat Biosci 10, no. 2 (2018): 473-489.
Kong, Dehan, Joseph G. Ibrahim, Eunjee Lee, and Hongtu Zhu. "FLCRM: Functional linear cox regression model." Biometrics 74, no. 1 (2018): 109-117.
Li, Tengfei, Fengchang Xie, Xiangnan Feng, Joseph G. Ibrahim, and Hongtu Zhu. "Functional Linear Regression Models for Nonignorable Missing Scalar Responses." Stat Sin 28, no. 4 (2018): 1867-1886.
Psioda, Matthew A., Mat Soukup, and Joseph G. Ibrahim. "A practical Bayesian adaptive design incorporating data from historical controls." Stat Med 37, no. 27 (2018): 4054-4070.
2019
Psioda, Matthew A., and Joseph G. Ibrahim. "Bayesian clinical trial design using historical data that inform the treatment effect." Biostatistics 20, no. 3 (2019): 400-415.
Li, Hao, Ming-Hui Chen, Joseph G. Ibrahim, Sungduk Kim, Arvind K. Shah, Jianxin Lin, and Andrew M. Tershakovec. "Bayesian inference for network meta-regression using multivariate random effects with applications to cholesterol lowering drugs." Biostatistics 20, no. 3 (2019): 499-516.
Ibrahim, Joseph G., Sungduk Kim, Ming-Hui Chen, Arvind K. Shah, and Jianxin Lin. "Bayesian multivariate skew meta-regression models for individual patient data." Stat Methods Med Res 28, no. 10-11 (2019): 3415-3436.
Diao, Guoqing, Guanghan F. Liu, Donglin Zeng, William Wang, Xianming Tan, Joseph F. Heyse, and Joseph G. Ibrahim. "Efficient methods for signal detection from correlated adverse events in clinical trials." Biometrics 75, no. 3 (2019): 1000-1008.
Zhu, Anqi, Joseph G. Ibrahim, and Michael I. Love. "Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differences." Bioinformatics 35, no. 12 (2019): 2084-2092.
Baldoni, Pedro L., Naim U. Rashid, and Joseph G. Ibrahim. "Improved detection of epigenomic marks with mixed-effects hidden Markov models." Biometrics 75, no. 4 (2019): 1401-1413.
Wu, Jing, Ming-Hui Chen, Elizabeth D. Schifano, Joseph G. Ibrahim, and Jeffrey D. Fisher. "A new Bayesian joint model for longitudinal count data with many zeros, intermittent missingness, and dropout with applications to HIV prevention trials." Stat Med 38, no. 30 (2019): 5565-5586.

Pages