Название: Bayesian Analysis with R for Drug Development : Concepts, Algorithms, and Case Studies
Автор: Harry Yang, Steven Novick
Издательство: Chapman and Hall/CRC
Год: 2019
Страниц: 327
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
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. The book consists of three parts, totaling 11 chapters. Since the primary aim of this book is to use case studies, examples, and easy-to-follow R code to demonstrate Bayesian applications in the entire spectrum of drug development, it is, by no means, meant to be comprehensive in literature review, nor is it intended to be exhaustive in expounding each application.