bpp-package {bpp}

Tools for Computation of Bayesian Predictive Power for a Normally Distributed Endpoint with Known Variance

Description

Implements functions to update Bayesian Predictive Power Computations after not stopping a clinical trial at an interim analysis, whether blinded or unblinded, for a Normally distributed endpoint with known variance, with a prominent example being the hazard ratio.

Details

Package:	bpp
Type:	Package
Version:	1.0.4
Date:	2022-01-13
License:	GPL (>=2)
LazyLoad:	yes

Author(s)

Kaspar Rufibach (maintainer)
[e-mail]

References

Rufibach, K., Jordan, P., Abt, M. (2016a). Sequentially Updating the Likelihood of Success of a Phase 3 Pivotal Time-to-Event Trial based on Interim Analyses or External Information. J. Biopharm. Stat., 26(2), 191–201.

Rufibach, K., Burger, H.U., Abt, M. (2016b). Bayesian Predictive Power: Choice of Prior and some Recommendations for its Use as Probability of Success in Drug Development. Pharm. Stat., 15, 438–446.

Examples

# type ?bpp_1interim for code of all the computations in Rufibach et al (2016a).