title: Modeling methods for mixture-of-mixtures experiments applied to a tablet formulation problem.
abstract: During the past few years, statistical methods for the experimental design, modeling, and optimization of mixture experiments have been widely applied to drug formulation problems. Different methods are required for mixture-of-mixtures (MoM) experiments in which a formulation is a mixture of two or more "major" components, each of which is a mixture of one or more "minor" components. Two types of MoM experiments are briefly described. A tablet formulation optimization example from a 1997 article in this journal is used to illustrate one type of MoM experiment and corresponding empirical modeling methods. Literature references that discuss other methods for MoM experiments are also provided.
authors.affiliation: Statistics Group, Battelle, Pacific Northwest Division, Richland, Washington 99352, USA. greg.piepel@pnl.gov
authors.forename: G F
authors.initials: GF
authors.lastname: Piepel
mesh_terms: D000465:Algorithms; D004339:Drug Compounding; D008962:Models, Theoretical; D012044:Regression Analysis; D013607:Tablets
chemical_list: D013607:Tablets