An Introduction to Adaptive Trial Design [Video]

Adaptive trial design allows specified parts of a clinical trial to change using accumulating interim data, provided those changes are planned in advance. This video explains how adaptive designs can support decisions such as early stopping, sample size re-estimation, and dose selection, and why timing, data readiness, and operational control are central to making those decisions work in practice.

WHAT THIS VIDEO COVERS
• How pre-specified adaptations differ from reactive trial changes
• Futility stopping, efficacy stopping, sample size re-estimation, and dose selection
• Why recruitment speed, endpoint timing, and data lag can limit an adaptation
• How simulation helps assess design behaviour under different scenarios
• The operational workflow needed for interim analyses and decision-making
• Why access to interim results and final reporting need clear controls

Adaptive designs can support earlier, better-informed decisions, but only when the statistical plan and trial operations are aligned. Teams need to know what can change, when decisions will be made, which data are required, and how those decisions will be reflected in the final analysis.

Quanticate’s statistical consultancy team supports sponsors with adaptive trial design strategy, simulation planning, interim analysis frameworks, SAP development, and statistical input that helps align design choices with the question the study needs to answer. If you are evaluating whether an adaptive approach is appropriate for your programme, or need support to plan, justify, and deliver it with confidence, request a consultation today.