This article is published in Pharmaceutical Statistics as a special issue on Multi-regional Clinical Trials–What are the challenges?, edited by Sue Jane Wang, Office of Biostatistics, Office of Translational Sciences, CDER, U.S. Food and Drug Administration, MD, USA
An optimal adaptive design to address local regulations in global clinical trials†
Article first published online: 22 SEP 2010
Copyright © 2010 John Wiley & Sons, Ltd.
Special Issue: Special Issue: Multi-Regional Clinical Trials – What Are The Challenges?
Volume 9, Issue 3, pages 179–189, July/September 2010
How to Cite
Luo, X., Shih, W. J., Ouyang, S. P. and DeLap, R. J. (2010), An optimal adaptive design to address local regulations in global clinical trials. Pharmaceut. Statist., 9: 179–189. doi: 10.1002/pst.456
- Issue published online: 22 SEP 2010
- Article first published online: 22 SEP 2010
- multi-regional clinical trial;
- adaptive design;
- bridging study;
- sample size
After multi-regional clinical trials (MRCTs) have demonstrated overall significant effects, evaluation for a region-specific effect is often important. Recent guidance (see, e.g. 1) from regulatory authorities regarding evaluation for possible country-specific effects has led to research on statistical designs that incorporate such evaluations in MRCTs. These statistical designs are intended to use the MRCTs to address the requirements for global registration of a medicinal product. Adding a regional requirement could change the probability for declaring positive effect for the region when there is indeed no treatment difference as well as when there is in fact a true difference within the region. In this paper, we first quantify those probability structures based on the guidance issued by the Ministry of Health, Labour and Welfare (MHLW) of Japan. An adaptive design is proposed to consider those probabilities and to optimize the efficiency for regional objectives. This two-stage approach incorporates comprehensive global objectives into an integrated study design and may mitigate the need for a separate local bridging study. A procedure is used to optimize region-specific enrollment based on an objective function. The overall sample size requirement is assessed. We will use simulation analyses to illustrate the performance of the proposed study design. Copyright © 2010 John Wiley & Sons, Ltd.