Bayesian joint modeling of multivariate longitudinal and survival outcomes using Gaussian copulas S Cho, MA Psioda, JG Ibrahim Biostatistics, kxae009, 2024 | | 2024 |
Prior Effective Sample Size When Borrowing on the Treatment Effect Scale H Zhang, KM Anderson, Z Zimmer, G Golm, A Sapre, JG Ibrahim arXiv preprint arXiv:2404.13366, 2024 | | 2024 |
Bayesian design of clinical trials using the scale transformed power prior X Chen, B Nifong, EM Alt, MA Psioda, JG Ibrahim Journal of Biopharmaceutical Statistics, 1-20, 2024 | | 2024 |
BayesPPDSurv: An R Package for Bayesian Sample Size Determination Using the Power and Normalized Power Prior for Time-To-Event Data Y Shen, MA Psioda, JG Ibrahim arXiv preprint arXiv:2404.05118, 2024 | | 2024 |
Exploring the Connection Between the Normalized Power Prior and Bayesian Hierarchical Models Y Shen, MA Psioda, LM Carvalho, JG Ibrahim arXiv preprint arXiv:2404.02453, 2024 | 1 | 2024 |
Efficient computation of high-dimensional penalized generalized linear mixed models by latent factor modeling of the random effects HM Heiling, NU Rashid, Q Li, XL Peng, JJ Yeh, JG Ibrahim Biometrics 80 (1), ujae016, 2024 | 1 | 2024 |
Safety signal detection with control of latent factors X Tan, W Wang, D Zeng, GF Liu, G Diao, N Jafari, EM Alt, JG Ibrahim Statistics in Medicine, 2024 | | 2024 |
Canopy2: tumor phylogeny inference by bulk DNA and single-cell RNA sequencing AMK Weideman, R Wang, JG Ibrahim, Y Jiang bioRxiv, 2024.03. 18.585595, 2024 | | 2024 |
Deeply Learned Generalized Linear Models with Missing Data DK Lim, NU Rashid, JB Oliva, JG Ibrahim Journal of Computational and Graphical Statistics, 1-13, 2023 | | 2023 |
Discussion of “Optimal test procedures for multiple hypotheses controlling the familywise expected loss” by Willi Maurer, Frank Bretz, and Xiaolei Xun LM LaVange, EM Alt, JG Ibrahim Biometrics 79 (4), 2802-2805, 2023 | 1 | 2023 |
Bayesian design of multi‐regional clinical trials with time‐to‐event endpoints NW Bean, JG Ibrahim, MA Psioda Biometrics 79 (4), 3586-3598, 2023 | 2 | 2023 |
Bayesian design of clinical trials using joint models for recurrent and terminating events J Xu, MA Psioda, JG Ibrahim Biostatistics 24 (4), 866-884, 2023 | | 2023 |
Supporting Information for Deeply-Learned Generalized Linear Models with Missing Data DK Lim, NU Rashid, JB Oliva, JG Ibrahim | | 2023 |
Bayesian joint models for multi-regional clinical trials NW Bean, JG Ibrahim, MA Psioda Biostatistics, kxad023, 2023 | | 2023 |
Bayesian bi-level variable selection for genome-wide survival study E Lee, JG Ibrahim, H Zhu, Alzheimer’s Disease Neuroimaging Initiative Genomics & Informatics 21 (3), 2023 | | 2023 |
Estimating cell type composition using isoform expression one gene at a time HM Heiling, DR Wilson, NU Rashid, W Sun, JG Ibrahim Biometrics 79 (2), 854-865, 2023 | 1 | 2023 |
Bayesian generalized linear low rank regression models for the detection of vaccine‐adverse event associations P Hauser, X Tan, F Chen, JG Ibrahim Statistics in Medicine 42 (12), 2009-2026, 2023 | | 2023 |
A Bayesian approach to study design and analysis with type I error rate control for response variables of mixed types EM Alt, MA Psioda, JG Ibrahim Statistics in Medicine 42 (11), 1722-1740, 2023 | 1 | 2023 |
glmmpen: High dimensional penalized generalized linear mixed models HM Heiling, NU Rashid, Q Li, JG Ibrahim arXiv preprint arXiv:2305.08204, 2023 | 2 | 2023 |
New C‐indices for assessing importance of longitudinal biomarkers in fitting competing risks survival data in the presence of partially masked causes MT Sheikh, MH Chen, JA Gelfond, W Sun, JG Ibrahim Statistics in Medicine 42 (9), 1308-1322, 2023 | 1 | 2023 |