Bayesian Decreasingly Informative Priors for Early Termination Phase II Trials
One sample Bernoulli model - Trial Design
One sample Bernoulli model
One sample Normal model with one-parameter unknown, given variance
One sample Normal model with one-parameter unknown, given variance
One sample Normal model with two-parameter unknown - both mean and var...
One sample Normal model with two-parameter unknown - both mean and var...
One sample Poisson model - Trial Design
One sample Poisson model
Two sample Bernoulli model - Trial Design
Two sample Bernoulli model
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>.