Bayesian Analysis with R for Drug Development av Harry (MedImmune LLC Gaithersburg Maryland USA) Yang, Steven Novick

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<P>Drug development is an iterative process. The recent publications of regulatory guidelines further entail a lifecycle approach. Blending data from disparate sources, the Bayesian approach provides a flexible framework for drug development. Despite its advantages, the uptake of Bayesian methodologies is lagging behind in the field of pharmaceutical development.</P><P></P><P>Written specifically for pharmaceutical practitioners, <B>Bayesian Analysis with R for Drug Development: Concepts, Algorithms, and Case Studies</B>,<B></B>describes a wide range of Bayesian applications to problems throughout pre-clinical, clinical, and Chemistry, Manufacturing, and Control (CMC) development. Authored by two seasoned statisticians in the pharmaceutical industry, the book provides detailed Bayesian solutions to a broad array of pharmaceutical problems.</P><B><P></P><P>Features</P><UL></B><P><LI>Provides a single source of information on Bayesian statistics for drug development</LI><P></P><P><LI>Cov