Advanced Design Framework: Part 2 – The Need For A Quantitative Evaluation Approach For Deciding

Cytel has recently revealed its Advanced Design Framework, a method developed by Cytel’s thought leaders that draws on decades of experience increasing clinical development productivity. The Framework illustrates how advances in design processes and technology can help development teams deliver greater business results, unifying statistics and strategy in the era of cloud computing, and making strategic use of well-resourced statisticians.

The framework consists of three parts: Thoroughly Explore, Decide Together, and Communicate Trade-Offs. This week we take a deeper look into the second part of this Framework, revealing how to effectively incorporate varied perspectives to efficiently design innovative clinical trials. Opportunities for quantitative evaluation criteria and design without bias help R&D teams sift through the thousands of trial designs options to optimize for speed, success, and savings.

Has your organization ever completed the execution of a long, expensive Phase 3 clinical trial only to learn that the organization is unable to commercialize the therapy? Has a faster competitor ever locked your organization out of a market? One contributing factor may have been the historical process for selecting statistical trial designs. The emergence of cloud-powered trial optimization capabilities warrants an examination of the end-to-end approach to statistical trial design.