Higher order response-adaptive urn designs for clinical trials with highly successful treatments

Steven Hoberman, Anastasia Ivanova
We consider a problem of reducing the expected number of treatment failures in trials where the probability of response to treatment is close to 1 and treatments are compared based on log odds ratio. We propose a new class of urn designs for randomization of patients in a clinical trial. The new urn designs target a number of allocation proportions including the allocation proportion that yields the same power as equal allocation but significantly less expected treatment failures. The new
more » ... ures. The new design is compared with the doubly adaptively biased coin design, the efficient randomized adaptive design and with equal allocation. The properties of the new class of designs are studied by embedding them into a family of continuous time stochastic processes.
doi:10.17615/zaen-8a55 fatcat:5motf2lsvjfdxjj27vf3tha4pi