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Optimal Bayesian-feasible dose escalation for cancer phase I trials. (English) Zbl 0903.62064
Summary: We present an adaptive dose escalation scheme for cancer phase I clinical trials which is based on a parametric quantal response model. The dose escalation is Bayesian-feasible, Bayesian-optimal and consistent. It is designed to approach the maximum tolerated dose as fast as possible subject to the constraint that the predicted probability of assigning doses higher than the maximum tolerated dose is equal to a specified value.
MSC:
62L05Sequential statistical designs
62P10Applications of statistics to biology and medical sciences
62F15Bayesian inference