This useful reference describes the statistical planning and design
of pharmaceutical experiments, covering all stages in the
development process-including preformulation, formulation, process
study and optimization, scale-up, and robust process and
formulation development.Shows how to overcome pharmaceutical,
technological, and economic constraints on experiment
design!Directly comparing the advantages and disadvantages of
specific techniques, Pharmaceutical Experimental DesignA* offers
broad, detailed, up-to-date descriptions of designs and methods not
easily accessible in other booksA* reviews screening designs for
qualitative factors at different levelsA* presents designs for
predictive models and their use in optimizationA* highlights
optimization methods, such as steepest ascent, optimum path,
canonical analysis, graphical analysis, and desirabilityA*
discusses the Taguchi method for quality assurance and approaches
for robust scaling up and process transferA* details nonstandard
designs and mixturesA* analyzes factorial, D-optimal design, and
offline quality assurance techniquesA* reveals how one experimental
design evolves from anotherA* and more!Featuring over 700
references, tables, equations, and drawings, Pharmaceutical
Experimental Design is suitable for industrial, research, and
clinical pharmaceutical scientists, pharmacists, and
pharmacologists; statisticians and biostatisticians; drug
regulatory affairs personnel; biotechnologists; formulation,
analytical, and synthetic chemists and engineers, quality assurance
personnel; all users of statistical experimental design in research
and development; and postgraduate and postdoctoral research workers
in these disciplines.
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