LICT Publications 2021-2023
- Alt, EM, Nifong, B, Chen, X, Psioda, MA, Ibrahim, JG, “The Scale Transformed Power Prior for Use with Historical Data from a Different Outcome Model,” Statistics in Medicine, 2023; in press.
- Alt, EM, Psioda, MA, Ibrahim, JG, “Bayesian Multivariate Probability of Success Using Historical Data” Biostatistics; 2023; 24:17–31.
- Alt, EM, Psioda, MA, Ibrahim, JG, “Hierarchical Bayesian Generalized Linear Models with Mean Shrinkage,”Biostatistics; 2022; 23:1165–1181.
- Bean, N, Ibrahim, JG, Psioda MA, “Bayesian Design of Multi-Regional Clinical Trials with Time-to-Event Endpoints,” Biometrics, 2023; in press.
- Bean, NW, Ibrahim, JG, and Psioda, MA, “Bayesian Multi-Regional Clinical Trials Using Model Averaging,” Biostatistics; 2023; in press.
- Carvalho, LM, Ibrahim, JG, “On the Normalized Power Prior, “Statistics in Medicine; 2021;40:5251-–5275.
- Diao, G, Liu, GF, Zeng, D, Zhang, Y, Golm, G, Heyse, JF, Ibrahim, JG, “Efficient Multiple Imputation for Sensitivity Analysis of Recurrent Events Data with Informative Censoring,” Statistics in Biopharmaceutical Research; 2022; 14:153–161.
- Diao, G, Ma, H, Zeng, D, Ke, C, Ibrahim, JG, “Synthesizing Studies for Comparing Treatment Sequences in Clinical Trials,” Statistics in Medicine, 2022; 41:5134–5149.
- Eggleston, B, Ibrahim, JG, McNeil, B, and Catellier, D, `”An R Package for Bayesian Trial Design Using Historical Control Data,” Journal of Statistical Software; 2021; 100(21), 1–51. https://doi.org/10.18637/jss.v100.i21.
- Gelfond JA, Hernandez B, Goros M, Ibrahim JG, Chen MH, Sun W, Leach RJ, Kattan MW, Thompson IM, Ankerst DP, Liss M, “Prediction of Future Risk of Any and Higher-grade Prostate Cancer Based on the PLCO and SELECT Trials, BMC Urology, 2022; 22:45. https://doi.org/10.1186/s12894-022-00986-w
- Jia, B, Zeng, D, Liao, J, Liu, G, Tan, X, Diao, G, Ibrahim, JG, “Inferring Latent Heterogeneity Using Many Feature Variables Supervised by Survival Outcome,” Statistics in Medicine; 2021; 40:3181–3195.
- Jia, B, Zeng, D, Liao, JJZ, Liu, GF, Tan, X, Diao, G, Ibrahim, JG, “Mixture Survival Trees for Cancer Risk Classification,” Lifetime Data Analysis; 2022; 28:356–379.
- Li, H, Chen, MH, Ibrahim, JG, Kim, S, Shah, A, Lin, J, “Bayesian Network Meta-Regression Hierarchical Models Using Heavy-Tailed Multivariate Random Effects with Covariate-Dependent Variances,”Statistics in Medicine; 2021; 40:3582–3603.
- Lim, D, Chen, MH, Ibrahim, JG, Kim, S, Shah, AK, Lin, J, “metapack: An R Package for Bayesian Meta-Analysis and Network Meta-Analysis with a Unified Formula Interface,” The R Journal, 2023; in press.
- Psioda, MA, Jiang, X, Xia, HA, Xu, J, and Ibrahim, JG, “Bayesian Adaptive Design for Concurrent Trials Involving Biologically-Related Diseases,” Biostatistics; 2022; 23:1007-–1022.
- Psioda, MA, Xu, J, Jiang, Q, Ke, C, Zhao, Y, and Ibrahim, JG, “Bayesian Adaptive Basket Trial Design Using Model Averaging,” Biostatistics, 2021; 22:19–34.
- Sheikh, T, Chen, MH, Gelfond, JA, Ibrahim, JG, “A Power Prior Approach for Leveraging External Longitudinal and Competing Risks Survival Data within the Joint Modeling Framework”, Statistics in Biosciences; 2022; 14:318-–336.
- Sheikh, T, Ibrahim, JG, Gelfond, JA, Sun, W, Chen, MH, “Joint Modeling of Longitudinal and Survival Data in the Presence of Competing Risks with Applications to Prostate Cancer Data.” Statistical Modelling; 2021; 21:72–94.
- Shen, Y, Psioda, MA, Ibrahim, JG, “BayesPPD: An R Package for Bayesian Sample Size Determination Using the Power and Normalized Power Prior for Generalized Linear Models,” The R Journal, 2023; in press.
- Xu, J, Psioda, MA, Ibrahim, JG, “Bayesian Design of Clinical Trials Using Joint Cure Rate Models for Longitudinal and Time-to-event Data,” Lifetime Data Analysis, 2023; in press.
- Xu, J, Psioda, MA, and Ibrahim, JG, “Bayesian Design of Clinical Trials for Joint Models of Longitudinal and Time-to-event Data,” Biostatistics; 2022; 23:591–608.
- Xu, J, Psioda, MA, Ibrahim, JG, “Bayesian Design of Clinical Trials Using Joint Models for Recurrent and Terminating Events,” Biostatistics; 2023; in press.