Longitudinal Models in FACTS

In this FACTS webinar, Nick Berry, Senior Statistical Scientist, takes us through how longitudinal models work within the FACTS software.

With a focus on Alzheimer's trials, Nick explains the design and implementation of phase two trials using these models to improve efficiency and data utilization. This webinar offers valuable insights into the mechanics of leveraging longitudinal data for better trial outcomes, highlighting the use of multiple imputation and Bayesian models.

Key highlights include:

• Explanation of the phase two Alzheimer's drug trial using ADCOMs as the endpoint

• Overview of trial design elements, including interim analysis and dose variations

• Introduction to the mechanics of multiple imputation for longitudinal data

• Insight into the integration of Bayesian models with longitudinal data during trials

• Discussion on the efficiency gains and sample size reductions through longitudinal modeling

• Audience Q&A covering topics such as type one error control and applicability across different medical endpoints

Resources:

• FACTS Software Documentation: docs.berryconsultants.com