Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Pharmaceutical Experimental Design

Pharmaceutical Experimental Design

Lewis, Gareth A.
Mathieu, Didier
Phan-Tan-Luu, Roger

Paperback

Series: Drugs and the Pharmaceutical Sciences

Medical ReferenceChemistryProbability & Statistics

ISBN10: 0367447746
ISBN13: 9780367447748
Publisher: Crc Pr Inc
Published: Dec 2 2019
Pages: 512
Weight: 1.50
Height: 1.03 Width: 6.00 Depth: 9.00
Language: English

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 DesignÂ- offers broad, detailed, up-to-date descriptions of designs and methods not easily accessible in other booksÂ- reviews screening designs for qualitative factors at different levelsÂ- presents designs for predictive models and their use in optimizationÂ- highlights optimization methods, such as steepest ascent, optimum path, canonical analysis, graphical analysis, and desirabilityÂ- discusses the Taguchi method for quality assurance and approaches for robust scaling up and process transferÂ- details nonstandard designs and mixturesÂ- analyzes factorial, D-optimal design, and offline quality assurance techniquesÂ- reveals how one experimental design evolves from anotherÂ- 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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