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Mixture and mixture–process variable experiments for pharmaceutical applications
Author(s) -
AndersonCook Christine M.,
Goldfarb Heidi B.,
Borror Connie M.,
Montgomery Douglas C.,
Canter Kelly G.,
Twist John N.
Publication year - 2004
Publication title -
pharmaceutical statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 38
eISSN - 1539-1612
pISSN - 1539-1604
DOI - 10.1002/pst.138
Subject(s) - design of experiments , ingredient , active ingredient , process (computing) , variable (mathematics) , mixture model , computer science , process engineering , biochemical engineering , mathematics , statistics , chemistry , engineering , medicine , pharmacology , mathematical analysis , food science , operating system
Many experiments in research and development in the pharmaceutical industry involve mixture components. These are experiments in which the experimental factors are the ingredients of a mixture and the response variable is a function of the relative proportion of each ingredient, not its absolute amount. Thus the mixture ingredients cannot be varied independently. A common variation of the mixture experiment occurs when there are also one or more process factors that can be varied independently of each other and of the mixture components, leading to a mixture–process variable experiment. We discuss the design and analysis of these types of experiments, using tablet formulation as an example. Our objective is to encourage greater utilization of these techniques in pharmaceutical research and development. Copyright © 2004 John Wiley & Sons Ltd.