An automation-based adaptive seamless design for dose selection and confirmation with improved power and efficiency

Author:

Cui Lu1ORCID,Zhan Tianyu2ORCID,Zhang Lanju2,Geng Ziqian2,Gu Yihua2,Chan Ivan SF2

Affiliation:

1. Statistical Science and Innovation, UCB Biosciences, Raleigh, NC, USA

2. Data and Statistical Sciences, AbbVie Inc., North Chicago, IL, USA

Abstract

In a drug development program, the efficacy and safety of multiple doses can be evaluated in patients through a phase 2b dose ranging study. With a demonstrated dose response in the trial, promising doses are identified. Their effectiveness then is further investigated and confirmed in phase 3 studies. Although this two-step approach serves the purpose of the program, in general, it is inefficient because of its prolonged development duration and the exclusion of the phase 2b data in the final efficacy evaluation and confirmation which are only based on phase 3 data. To address the issue, we propose a new adaptive design, which seamlessly integrates the dose finding and confirmation steps under one pivotal study. Unlike existing adaptive seamless phase 2b/3 designs, the proposed design combines the response adaptive randomization, sample size modification, and multiple testing techniques to achieve better efficiency. The design can be easily implemented through an automated randomization process. At the end, a number of targeted doses are selected and their effectiveness is confirmed with guaranteed control of family-wise error rate.

Publisher

SAGE Publications

Subject

Health Information Management,Statistics and Probability,Epidemiology

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