Publications

Filters: Author is Ibrahim, Joseph G and First Letter Of Title is N  [Clear All Filters]
Journal Article
Gwon, Yeongjin, May Mo, Ming-Hui Chen, Zhiyi Chi, Juan Li, Amy H. Xia, and Joseph G. Ibrahim. "Network meta-regression for ordinal outcomes: Applications in comparing Crohn's disease treatments." Stat Med (2020).
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.
Presentation
Ibrahim, Joseph G.. Network Meta-analysis for Ordinal Outcomes: Applications in Comparing Crohn's Disease Treatments., 2016.
Software
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.