Designs for discriminating between binary dose response models with applications to animal carcinocenicity experiments
A procedure is proposed for designing an experiment to have optimal power for rejecting a particular subclass of dose-response models when the true model is from a different subclass. Theoretical results are presented on the number of dose levels required in an optimally-designed experiment and applications to dose-response problems arising in animal carcinogenicity bioassays are discussed