Publications

Filters: Keyword is Male and Author is Ibrahim, Joseph G  [Clear All Filters]
2019
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.
2015
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.
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.
2013
Kim, Sungduk, Ming-Hui Chen, Joseph G. Ibrahim, Arvind K. Shah, and Jianxin Lin. "Bayesian inference for multivariate meta-analysis Box-Cox transformation models for individual patient data with applications to evaluation of cholesterol-lowering drugs." Stat Med 32, no. 23 (2013): 3972-90.
2011
May, Ryan C., Joseph G. Ibrahim, and Haitao Chu. "Maximum likelihood estimation in generalized linear models with multiple covariates subject to detection limits." Stat Med 30, no. 20 (2011): 2551-61.
2010
Ibrahim, Joseph G., Haitao Chu, and Liddy M. Chen. "Basic concepts and methods for joint models of longitudinal and survival data." J Clin Oncol 28, no. 16 (2010): 2796-801.