88 citations · 243 across the 16 of their papers we have counts for
7 papers · 1 filter
BayesPPD: An R Package for Bayesian Sample Size Determination Using the Power and Normalized Power Prior for Generalized Linear Models
Yueqi Shen, Matthew A. Psioda, Joseph G. Ibrahim
The R package BayesPPD (Bayesian Power Prior Design) supports Bayesian power and type I error calculation and model fitting after incorporating historical data with the power prior…
On the normalized power prior
Luiz Max Carvalho, Joseph G. Ibrahim
The power prior is a popular tool for constructing informative prior distributions based on historical data. The method consists of raising the likelihood to a discounting factor i…
A Bayesian Joint model for Longitudinal DAS28 Scores and Competing Risk Informative Drop Out in a Rheumatoid Arthritis Clinical Trial
Violeta G. Hennessey, Luis G. Leon-Novelo, Juan Li +3
Rheumatoid arthritis clinical trials are strategically designed to collect the disease activity score of each patient over multiple clinical visits, meanwhile a patient may drop ou…
The Midpoint Mixed Model with a Missingness Mechanism (M5): A Likelihood-Based Framework for Quantification of Mass Spectrometry Proteomics Data (Preprint)
Jonathon O'Brien, Harsha Gunawardena, Xian Chen +2
Statistical models for proteomics data often estimate protein fold changes between two samples, A and B, as the average peptide intensity from sample A divided by the average pepti…
TPRM: Tensor partition regression models with applications in imaging biomarker detection
Michelle F. Miranda, Hongtu Zhu, Joseph G. Ibrahim
Medical imaging studies have collected high dimensional imaging data to identify imaging biomarkers for diagnosis, screening, and prognosis, among many others. These imaging data a…
Two-stage empirical likelihood for longitudinal neuroimaging data
Xiaoyan Shi, Joseph G. Ibrahim, Jeffrey Lieberman +3
Longitudinal imaging studies are essential to understanding the neural development of neuropsychiatric disorders, substance use disorders, and the normal brain. The main objective…