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>.
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