This complete revision of Understanding Experimental Design and Interpretation in Pharmaceutics provides a comprehensive and up-to-date guide for anyone involved in planning pharmaceutical experiments and analysing the results.After a brief discussion of the underlying statistical techniques, the major methods of experimental design and evaluation, such as multivariate analysis, principal components analysis and sequential analysis, are examined. A comprehensive review of factorial design, covering classical, partial and block designs, leads to a description of methods of optimization, including model-independent and model-dependent methods such as response surface methodology and multicriteria decision making. A separate chapter applies these methods to mixture designs which are particularly relevant to pharmaceutical formulations. Each chapter draws on real examples from the pharmaceutical industry making the book a practical aid for all pharmaceutical researchers.
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