11 Empirical Modeling and Experimental QbD

Co-chair(s):
McCready, C., Umetrics Inc.

QbD is typically addressed and implemented by using experimental design, statistics and empirical modeling. Talks are invited to share their experience in using DOE or alternate proposals to DOE, traditional statistics or multivariate latent variable methods in establishing a Design Space

Papers:
3:15 PM
(593a) Improving Process Understanding through Good Experimental Planning
3:40 PM
(593b) The Use of the Design of Dynamic Experiments Methodology to Quantify the Design Space in QbD Tasks
4:05 PM
(593c) The ICH Q8 Definition of Design Space: A Comparison of the Overlapping Means and the Bayesian Predictive Approaches
4:30 PM
(593d) Correlating Powder Flowability to Particle Size Distribution Using Chemometric Techniques
4:55 PM
(593e) Predictive Modeling of Pharmaceutical Processes with Missing and Noisy Data
5:20 PM
(593f) Nonlinear Programming Based Methods for PCA Parameter Estimation Using Data with Missing Elements

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2009 Annual Meeting
AIChE Members $150.00
AIChE Graduate Student Members Free
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Non-Members $225.00
Comprehensive Quality by Design in Pharmaceutical Development and Manufacture only
AIChE Members $100.00
AIChE Food, Pharmaceutical & Bioengineering Division Members Free
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
Non-Members $150.00