Applications of Multivariate Data Analysis in Pharmaceutical Process Development | AIChE

Applications of Multivariate Data Analysis in Pharmaceutical Process Development

Chair(s)

Wong, S. W., Eli Lilly and Company

Co-chair(s)

Tabora, J. E., Bristol Myers Squibb

The quality by design paradigm has rapidly increased the adoption of multivariate data analysis in Pharmaceutical Development. The application of these powerful techniques on experimental, process, or PAT data can result in significant increases of development productivity and substantial reduction of process risk. Authors are encouraged to submit papers discussing case studies in which multivariate data analysis was applied to increase process understanding to improve process robustness and performance or decrease development time.

Presentations

Checkout

Paper abstracts are public but to access Extended Abstracts, you must first purchase the conference proceedings.

Checkout

Do you already own this?

Pricing

Individuals

2010 Annual Meeting
AIChE Pro Members $150.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
AIChE Explorer Members $225.00
Non-Members $225.00
Comprehensive Quality by Design in Pharmaceutical Development and Manufacture only
AIChE Pro Members $100.00
Food, Pharmaceutical & Bioengineering Division Members Free
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
AIChE Explorer Members $150.00
Non-Members $150.00