Completely revised and updated, Pharmaceutical Experimental Design
and Interpretation, Second Edition explains the major methods of
experimental design and evaluation such as multivariate,
sequential, and principal components analysis. With new sections on
neural networks, artificial intelligence, fractional designs, and
optimization techniques, this source will prove invaluable to
anyone involved in the design and execution of pharmaceutical
research studies and the interpretation of study data.
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