Model-Assisted Bayesian Designs for Dose Finding and Optimization

Discover the innovative approaches in "Model-Assisted Bayesian Designs for Dose Finding and Optimization" by Ying Yuan, published by Taylor & Francis Ltd in 2022. This insightful hardback edition spans 220 pages and offers a comprehensive exploration of how model-assisted designs can significantly enhance the efficiency of early-phase dose-finding and optimization trials. It serves as an invaluable resource for biostatisticians, clinicians involved in clinical trials, drug regulatory professionals, and graduate students eager to deepen their understanding of therapeutic methodologies. Whether you are navigating complex clinical landscapes or seeking to optimize trial outcomes, this book is your essential guide to modern practices in drug development. Enhance your expertise and stay ahead in the rapidly evolving field of therapeutics with this practical reference.