Publications

Filters: Author is Ibrahim, Joseph G and Keyword is Computer Simulation  [Clear All Filters]
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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.
Miranda, Michelle F., Hongtu Zhu, and Joseph G. Ibrahim. "Bayesian spatial transformation models with applications in neuroimaging data." Biometrics 69, no. 4 (2013): 1074-83.
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.
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.
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.
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.
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.
Chen, Ming-Hui, Joseph G. Ibrahim, Peter Lam, Alan Yu, and Yuanye Zhang. "Bayesian design of noninferiority trials for medical devices using historical data." Biometrics 67, no. 3 (2011): 1163-70.
Psioda, Matthew A., Kuolung Hu, Yang Zhang, Jean Pan, and Joseph G. Ibrahim. "Bayesian design of biosimilars clinical programs involving multiple therapeutic indications." Biometrics 76, no. 2 (2020): 630-642.
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.