Bayesian Power Prior Design for Survival Outcomes

Bayesian power/type I error calculation and model fitting using the power prior and the normalized power prior for time-to-event endpoints. The proportional hazards model with piecewise constant hazard (piecewise exponential) is implemented. The methodology and examples of applying the package are detailed in . The Bayesian clinical trial design methodology is described in Chen et al. (2011) , and Psioda and Ibrahim (2019) . The proportional hazards model with piecewise constant hazard is detailed in Ibrahim et al. (2001) .


Reference manual

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install.packages("BayesPPDSurv")

1.0.5 by Yueqi Shen, 24 days ago


Browse source code at https://github.com/cran/BayesPPDSurv


Authors: Yueqi Shen [aut, cre] , Matthew A. Psioda [aut] , Joseph G. Ibrahim [aut]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports Rcpp, dplyr, tidyr

Suggests knitr, rmarkdown, testthat

Linking to Rcpp, RcppArmadillo, RcppDist


See at CRAN