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In this tutorial on group sequential design, we have introduced sequential design, some of the most common design choices and issues that can arise and provided an introduction to group sequential design and the specific choices available for this class of sequential design.
Sequential Design Types and Overview
Common Sequential Design Choices and Issues
Practical Guide to (Group) Sequential Design
Sequential designs, where trials can stop early based on interim results, are the most widely used type of adaptive design in clinical trials.
Sequential designs can greatly reduce the potential cost of a trial by stopping early where evidence is strongly in favour (efficacy) or against (futility) the treatment at an early interim analysis. For example, the accelerated approval of COVID-19 vaccine trials in 2020 was all based on sequential design approaches.
One of the most common approaches to sequential designs is group sequential design based on the error spending approach. This flexible class of methods allows for a wide range of possible stopping rules while retaining substantial adaptability to deal with post-design deviations at the analysis stage.
Watch this tutorial as we cover the important decisions you need to take when using sequential designs and provide practical guidance on commonly applied solutions.
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Who is this for?
This will be highly beneficial if you're a biostatistician, scientist, or clinical trial professional that is involved in sample size calculation and the optimization of clinical trials in:
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