Pharmaceutical Quality by Design Using JMP: Solving Product Development and Manufacturing Problems

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Rob Lievense

Pharmaceutical Quality by Design Using JMP

Solving Product Development and Manufacturing Problems

Rob Lievense

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English

SAS Institute
03 October 2018

Enterprise software; Mathematical & statistical software

Solve your pharmaceutical product development and manufacturing problems using JMP . Pharmaceutical Quality by Design Using JMP: Solving Product Development and Manufacturing Problems provides broad-based techniques available in JMP to visualize data and run statistical analyses for areas common in healthcare product manufacturing. As international regulatory agencies push the concept of Quality by Design (QbD), there is a growing emphasis to optimize the processing of products. This book uses practical examples from the pharmaceutical and medical device industries to illustrate easy-to-understand ways of incorporating QbD elements using JMP. Pharmaceutical Quality by Design Using JMP

opens by demonstrating the easy navigation of JMP to visualize data through the distribution function and the graph builder and then highlights the following:

the powerful dynamic nature of data visualization that enables users to be able to quickly extract meaningful information

tools and techniques designed for the use of structured, multivariate sets of experiments

examples of complex analysis unique to healthcare products such as particle size distributions/drug dissolution, stability of drug products over time, and blend uniformity/content uniformity.

Scientists, engineers, and technicians involved throughout the pharmaceutical and medical device product life cycles will find this book invaluable.

This book is part of the SAS Press program.

By: Rob Lievense
Imprint: SAS Institute
Dimensions: Height: 235mm, Width: 191mm, Spine: 23mm
Weight: 744g
ISBN: 9781629608648
ISBN 10: 1629608645
Pages: 436
Publication Date: 03 October 2018
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active

Rob Lievense is a Research Fellow of Global Statistics at Perrigo, as well as an active professor of statistics at Grand Valley State University (GVSU), located in Allendale, Michigan. At Perrigo, he leads a group that supports the consumer health care research and development department with statistical analysis, data visualization, advanced modeling, data-driven Quality by Design for product development, and structured experimental design planning. Rob has more than 20 years of experience in the applied statistics industry and 10 years of experience in the use of JMP. He has presented at major conferences including JMP Discovery Summit, where he served on the Steering Committee in 2017, and the annual conference of the American Association of Pharmaceutical Scientists. Rob has a BS in Applied Statistics and an MS in Biostatistics from GVSU. He currently serves as a member of the Biostatistics Curriculum Development Committee for GVSU and has his Six Sigma Black Belt Certification.