Designing trials with multiple objectives with graphical approach for multiple scenarios

Clinical trials with multiple objectives require careful control of the overall error rate through adjustments for multiple hypothesis testing. Design optimization must account for these adjustments across various plausible scenarios. This paper introduces a framework for optimizing trial designs in multiple scenarios using graphical approaches. The method is demonstrated in a pain study trial, highlighting improvements in overall performance across multiple scenarios.