Pharmaceutical Quality by Design Using JMP Solving Product Development and Manufacturing Problems
- 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.
| Publisher Name | SAS Institute |
|---|---|
| Author Name | Hagendorf, Col |
| Format | Audio |
| Bisac Subject Major | COM |
| Language | NG |
| Isbn 10 | 1642953393 |
| Isbn 13 | 9781642953398 |
| Target Age Group | min:NA, max:NA |
| Dimensions | 00.92" H x 50.07" L x 50.00" W |
| Page Count | 436 |
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.
