Bayesian Power Prior Design
Description
Bayesian power/type I error calculation and model fitting using
the power prior and the normalized power prior for generalized linear models.
Detailed examples of applying the package are available at .
Models for time-to-event outcomes are implemented in the R package 'BayesPPDSurv'.
The Bayesian clinical trial design methodology is described in Chen et al. (2011)
, and Psioda and Ibrahim (2019)
. The normalized power prior is described in Duan et al. (2006)
and Ibrahim et al. (2015) .