Publications

Filters: First Letter Of Keyword is S and Author is Ibrahim, Joseph G  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
I
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.
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.
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.
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.
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.. Network Meta-analysis for Ordinal Outcomes: Applications in Comparing Crohn's Disease Treatments., 2016.
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.
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, Yeongjin Gwon, and Fang Chen. "The power prior: theory and applications." Stat Med 34, no. 28 (2015): 3724-49.
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.
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.