research
∙
05/10/2023
Case Weighted Adaptive Power Priors for Hybrid Control Analyses with Time-to-Event Data
We develop a method for hybrid analyses that uses external controls to a...
share
research
∙
02/28/2023
Optimal Priors for the Discounting Parameter of the Normalized Power Prior
The power prior is a popular class of informative priors for incorporati...
research
∙
12/29/2021
BayesPPD: An R Package for Bayesian Sample Size Determination Using the Power and Normalized Power Prior for Generalized Linear Models
The R package BayesPPD (Bayesian Power Prior Design) supports Bayesian p...
research
∙
07/23/2021
A hierarchical prior for generalized linear models based on predictions for the mean response
There has been increased interest in using prior information in statisti...
research
∙
05/11/2021
The scale transformed power prior for use with historical data from a different outcome model
We develop the scale transformed power prior for settings where historic...
research
∙
10/26/2020
