BayesDIP - Bayesian Decreasingly Informative Priors for Early Termination
Phase II Trials
Provide early termination phase II trial designs with a
decreasingly informative prior (DIP) or a regular Bayesian
prior chosen by the user. The program can determine the minimum
planned sample size necessary to achieve the user-specified
admissible designs. The program can also perform power and
expected sample size calculations for the tests in early
termination Phase II trials. See Wang C and Sabo RT (2022)
<doi:10.18203/2349-3259.ijct20221110>; Sabo RT (2014)
<doi:10.1080/10543406.2014.888441>.