Publications

Filters: Keyword is Linear Models and Author is Ibrahim, Joseph G  [Clear All Filters]
2020
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.
2019
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.
2018
Kong, Dehan, Joseph G. Ibrahim, Eunjee Lee, and Hongtu Zhu. "FLCRM: Functional linear cox regression model." Biometrics 74, no. 1 (2018): 109-117.
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.
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.
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.
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.