Overview

The subject of this book is applied Bayesian methods for chemistry, manufacturing, and control (CMC) studies in the biopharmaceutical industry. The book has multiple authors from industry and academia, each contributing a case study (chapter). The collection of case studies covers a broad array of CMC topics, including stability analysis, analytical method development, specification setting, process development and optimization, process control, experimental design, dissolution testing, and comparability studies. The analysis of each case study includes a presentation of code and reproducible output. This book is written with an academic level aimed at practicing nonclinical biostatisticians, most of whom have graduate degrees in statistics. • First book of its kind focusing strictly on CMC Bayesian case studies • Case studies with code and output • Representation from several companies across the industry as well as academia • Authors are leading and well-known Bayesian statisticians in the CMC field • Accompanying website with code for reproducibility • Reflective of real-life industry applications/problems

Full Product Details

9781032185484

Table of Contents

Reviews

Author Information

Paul Faya (Ph.D.) is a Director in Discovery and Development Statistics with Eli Lilly and Company, USA. Tony Pourmohamad (Ph.D.) is a Principal Statistical Scientist with Genentech, USA, and an Assistant Adjunct Professor in the Department of Statistics at the University of California, Santa Cruz.

Tab Content 6

Customer Reviews

Recent Reviews

Countries Available