DAE

Abstract

Clinical trials in Alzheimer's disease are long, costly and have a low success rate. In this setting, optimal design theory constitutes a valuable tool to help planning of clinical studies efficiently. Our work presents how the theory of optimal design can be applied to a complex situation like an Alzheimer's trial. We illustrate how to handle challenges like dropout, covariate relationships and clinically relevant constraints. Furthermore, we illustrate how clinical trials can be directly optimized for drug effect detection power.