Publications

Filters: Author is Ibrahim, Joseph G and Keyword is Longitudinal Studies  [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.
2017
Lu, Zhao-Hua, Zakaria Khondker, Joseph G. Ibrahim, Yue Wang, and Hongtu Zhu. "Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studies." Neuroimage 149 (2017): 305-322.
2015
A Gould, Lawrence, Mark Ernest Boye, Michael J. Crowther, Joseph G. Ibrahim, George Quartey, Sandrine Micallef, and Frederic Y. Bois. "Joint modeling of survival and longitudinal non-survival data: current methods and issues. Report of the DIA Bayesian joint modeling working group." Stat Med 34, no. 14 (2015): 2181-95.
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.
Chen, Qingxia, Ryan C. May, Joseph G. Ibrahim, Haitao Chu, and Stephen R. Cole. "Joint modeling of longitudinal and survival data with missing and left-censored time-varying covariates." Stat Med 33, no. 26 (2014): 4560-76.
2012
Zhu, Hongtu, Joseph G. Ibrahim, Yueh-Yun Chi, and Niansheng Tang. "Bayesian influence measures for joint models for longitudinal and survival data." Biometrics 68, no. 3 (2012): 954-64.
2011
Chen, Liddy M., Joseph G. Ibrahim, and Haitao Chu. "Sample size and power determination in joint modeling of longitudinal and survival data." Stat Med 30, no. 18 (2011): 2295-309.
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.