Description
Bayesian Adaptive Methods for Clinical Trials provides a thorough exploration of Bayesian statistical methods applied to clinical trial design, monitoring, and analysis. This Chapman & Hall/CRC biostatistics text offers researchers and statisticians practical guidance on implementing adaptive trial designs that can improve efficiency, reduce costs, and enhance ethical considerations in drug development.
The book covers fundamental Bayesian principles, prior specification, posterior inference, and decision-making frameworks specific to clinical applications. It addresses real-world challenges including sample size determination, interim analysis, and adaptive modifications during trial execution. With contributions from leading biostatisticians including Scott Berry and Bradley Carlin, the text combines theoretical foundations with practical case studies and computational methods.
Ideal for biostatisticians, clinical researchers, and pharmaceutical professionals, this resource demonstrates how Bayesian approaches can enable more flexible and responsive clinical trial strategies while maintaining scientific rigor and regulatory compliance.
Reviews
There are no reviews yet.