Model-Assisted Bayesian Designs for Dose Finding Optimization

Model-Assisted Bayesian Designs for Dose Finding Optimization offers a detailed exploration of using Bayesian statistical methods to optimize dose finding in clinical trials. This book presents advanced techniques for modeling and optimizing dose selection, addressing challenges in identifying the most effective and safe doses for new treatments. By integrating model-assisted approaches with Bayesian designs, this guide helps researchers and statisticians improve trial efficiency, reduce costs, and enhance decision-making in clinical drug development.