Publications
Filters: First Letter Of Keyword is L and Author is Ibrahim, Joseph G [Clear All Filters]
Bayesian design of biosimilars clinical programs involving multiple therapeutic indications." Biometrics 76, no. 2 (2020): 630-642.
"Bayesian design of biosimilars clinical programs involving multiple therapeutic indications." Biometrics 76, no. 2 (2020): 630-642.
"Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differences." Bioinformatics 35, no. 12 (2019): 2084-2092.
"Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differences." Bioinformatics 35, no. 12 (2019): 2084-2092.
"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.
"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.
"FLCRM: Functional linear cox regression model." Biometrics 74, no. 1 (2018): 109-117.
"FLCRM: Functional linear cox regression model." Biometrics 74, no. 1 (2018): 109-117.
"A practical Bayesian adaptive design incorporating data from historical controls." Stat Med 37, no. 27 (2018): 4054-4070.
"Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studies." Neuroimage 149 (2017): 305-322.
"Assessing temporal agreement between central and local progression-free survival times." Stat Med 34, no. 5 (2015): 844-58.
"Bayesian probability of success for clinical trials using historical data." Stat Med 34, no. 2 (2015): 249-64.
"Bayesian probability of success for clinical trials using historical data." Stat Med 34, no. 2 (2015): 249-64.
"Bayesian probability of success for clinical trials using historical data." Stat Med 34, no. 2 (2015): 249-64.
"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.
"The power prior: theory and applications." Stat Med 34, no. 28 (2015): 3724-49.
"Quantifying the average of the time-varying hazard ratio via a class of transformations." Lifetime Data Anal 21, no. 2 (2015): 259-79.
"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.
"Functional-mixed effects models for candidate genetic mapping in imaging genetic studies." Genet Epidemiol 38, no. 8 (2014): 680-91.
"Joint modeling of longitudinal and survival data with missing and left-censored time-varying covariates." Stat Med 33, no. 26 (2014): 4560-76.
"Joint modeling of longitudinal and survival data with missing and left-censored time-varying covariates." Stat Med 33, no. 26 (2014): 4560-76.
"Bayesian influence measures for joint models for longitudinal and survival data." Biometrics 68, no. 3 (2012): 954-64.
"Meta-analysis methods and models with applications in evaluation of cholesterol-lowering drugs." Stat Med 31, no. 28 (2012): 3597-616.
"Meta-analysis methods and models with applications in evaluation of cholesterol-lowering drugs." Stat Med 31, no. 28 (2012): 3597-616.
"Fixed and random effects selection in mixed effects models." Biometrics 67, no. 2 (2011): 495-503.
"Maximum likelihood estimation in generalized linear models with multiple covariates subject to detection limits." Stat Med 30, no. 20 (2011): 2551-61.
"Maximum likelihood estimation in generalized linear models with multiple covariates subject to detection limits." Stat Med 30, no. 20 (2011): 2551-61.
"Maximum likelihood estimation in generalized linear models with multiple covariates subject to detection limits." Stat Med 30, no. 20 (2011): 2551-61.
"Sample size and power determination in joint modeling of longitudinal and survival data." Stat Med 30, no. 18 (2011): 2295-309.
"Basic concepts and methods for joint models of longitudinal and survival data." J Clin Oncol 28, no. 16 (2010): 2796-801.
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