88 citations · 243 across the 16 of their papers we have counts for
6 papers · 1 filter
LEAP: The latent exchangeability prior for borrowing information from historical data
Ethan M. Alt, Xiuya Chang, Xun Jiang +4
It is becoming increasingly popular to elicit informative priors on the basis of historical data. Popular existing priors, including the power prior, commensurate prior, and robust…
Optimal Priors for the Discounting Parameter of the Normalized Power Prior
Yueqi Shen, Luiz M. Carvalho, Matthew A. Psioda +1
The power prior is a popular class of informative priors for incorporating information from historical data. It involves raising the likelihood for the historical data to a power,…
A hierarchical prior for generalized linear models based on predictions for the mean response
Ethan M. Alt, Matthew A. Psioda, Joseph G. Ibrahim
There has been increased interest in using prior information in statistical analyses. For example, in rare diseases, it can be difficult to establish treatment efficacy based solel…
The scale transformed power prior for use with historical data from a different outcome model
Brady Nifong, Matthew A. Psioda, Joseph G. Ibrahim
We develop the scale transformed power prior for settings where historical and current data involve different data types, such as binary and continuous data, respectively. This sit…
Partial Least Squares for Functional Joint Models
Yue Wang, Joseph Ibrahim, Hongtu Zhu
Many biomedical studies have identified important imaging biomarkers that are associated with both repeated clinical measures and a survival outcome. The functional joint model (FJ…
Perturbation and scaled Cook's distance
Hongtu Zhu, Joseph G. Ibrahim, Hyunsoon Cho
Cook's distance [Technometrics 19 (1977) 15-18] is one of the most important diagnostic tools for detecting influential individual or subsets of observations in linear regression f…