Mixture and mixture-process variable experiments for pharmaceutical applications

Christine M. Anderson-Cook, Heidi B. Goldfarb, Connie M. Borror, Douglas Montgomery, Kelly G. Canter, John N. Twist

Research output: Contribution to journalArticle

19 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)247-260
Number of pages14
JournalPharmaceutical Statistics
Volume3
Issue number4
DOIs
StatePublished - Oct 1 2004

Keywords

  • Analysis of variance
  • Design of experiments
  • Mixture experiments
  • Response surface methodology
  • Scheffe model
  • Unconstrained and constrained regions

ASJC Scopus subject areas

  • Statistics and Probability
  • Pharmacology
  • Pharmacology (medical)

Fingerprint Dive into the research topics of 'Mixture and mixture-process variable experiments for pharmaceutical applications'. Together they form a unique fingerprint.

  • Cite this

    Anderson-Cook, C. M., Goldfarb, H. B., Borror, C. M., Montgomery, D., Canter, K. G., & Twist, J. N. (2004). Mixture and mixture-process variable experiments for pharmaceutical applications. Pharmaceutical Statistics, 3(4), 247-260. https://doi.org/10.1002/pst.138