Optimal group sequential designs constrained on both overall and stage one error rates

Yanning Liu and Dayong Li

Communications in Statistics - Theory and Methods, 2019, vol. 48, issue 20, 4959-4975

Abstract: Optimized group sequential designs proposed in the literature have designs minimizing average sample size with respect to a prior distribution of treatment effect with overall type I and type II error rates well-controlled (i.e., at final stage). The optimized asymmetric group sequential designs that we present here additionally consider constrains on stopping probabilities at stage one: probability of stopping for futility at stage one when no drug effect exists as well as the probability of rejection when the maximum effect size is true at stage one so that accountability of group sequential design is ensured from the first stage throughout.

Date: 2019
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DOI: 10.1080/03610926.2018.1440314

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