Hierarchical modeling is an advanced statistical approach used in clinical trials to make inferences across multiple patient groups, enhancing power and reducing sample sizes while requiring careful implementation to account for variability and potential biases in observed data.

Berry Consultants is excited to announce the release of FACTS 6.1, which introduces new Dose Escalation simulation types, enhanced functionality with 'Design Variants' across all FACTS engines, and maintains full compatibility with previous versions, making it easier to estimate sample sizes and analyze trial outcomes.

This week, we published an article in JAMA titled “Bayesian Analysis: Use of Prior Information in Clinical Trials,” which explores the nuances of Bayesian analysis in clinical trials, emphasizing the importance of transparency and community consensus when using informative priors to avoid bias and enhance trial efficiency.

Berry Consultants has launched a Clinical Trial Strategy Team, led by Dr. Meredith Buxton and Dr. Melissa Paoloni, to enhance the design and implementation of innovative platform and adaptive clinical trials across all therapeutic areas, aiming to advance precision medicine through expert guidance and comprehensive services.

Duke Clinical Research Institute is hosting a public meeting on December 7th from 9am-3pm to discuss the results of the NIH-funded ADAPT project, which aims to create a more efficient and cost-effective clinical trial design for testing new antibiotics against highly resistant bacterial pathogens.

Don Berry’s presentation at the Simons Institute for the Theory of Computing at University of California Berkeley.