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Optimizing Interim Analyses to Conserve Resources and Speed Strong Therapies to Market

Case Study

Perfectly timed second interim look reduced a one year chronic pain trial by two months

A small biotech sponsor designing a clinical trial for their chronic pain therapy was considering a conventional sample size re-estimation design with an interim analysis at 50%. Interested in gaining a competitive edge and identifying a way to shorten their trial duration while maintaining a high level of probability of success, reached out to Cytel to explore Solara.


Using Solara, Cytel’s statistical experts simulated 15.6 million trials within 15 minutes and worked with the sponsor to identify the optimal design options with the optimal number and timing of interim analysis and the highest probability of success.


Find out how the sponsor was able to use Solara’s revolutionary capabilities to find a design that accommodated the short study timeline and competitive environment, while minimizing the executional risk of implementing the selected design in hours instead of weeks.


Download your copy now to learn more about this exciting new approach to clinical trial design optimization.

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