Source code is provided here to accompany the paper "A predictive probability design for phase II cancer clinical trials" by J. Jack Lee and Diane D. Liu. The method provides a flexible alternative to frequentist two- or three-state designs for phase II trials based on Bayesian predictive probability.
The program will search and determine the design parameters and sample size to yield the highest power at a maximum tolerable type I error rate. The three figures below show the type I error rate, power,and sample size by varying the design parameters. See the Phase II PP User's Guide for details. (The User's Guide is included in the downloadable zip file.)
See also software using Bayesian predictive probability for interim analysis of randomized trials.
Languages: R/S-PLUS
Contact: J. Jack Lee
