Optimizing One-Sample Tests for Proportions in Single- and Two-Stage Oncology Trials

This convolution-based approach offers a flexible and efficient alternative to traditional methods for early-phase oncology trial design. It addresses the conservativeness of existing designs and provides practical benefits in terms of resource use and study timelines.