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{ "item_title" : "Pharmaceutical Experimental Design", "item_author" : [" Gareth A. Lewis", "Didier Mathieu", "Roger Phan-Tan-Luu "], "item_description" : "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 Design - offers broad, detailed, up-to-date descriptions of designs and methods not easily accessible in other books - reviews screening designs for qualitative factors at different levels - presents designs for predictive models and their use in optimization - highlights optimization methods, such as steepest ascent, optimum path, canonical analysis, graphical analysis, and desirability - discusses the Taguchi method for quality assurance and approaches for robust scaling up and process transfer - details nonstandard designs and mixtures - analyzes factorial, D-optimal design, and offline quality assurance techniques - reveals how one experimental design evolves from another - 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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/82/479/860/0824798600_b.jpg", "price_data" : { "retail_price" : "280.00", "online_price" : "280.00", "our_price" : "280.00", "club_price" : "280.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Pharmaceutical Experimental Design|Gareth A. Lewis

Pharmaceutical Experimental Design

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Overview

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 Design - offers broad, detailed, up-to-date descriptions of designs and methods not easily accessible in other books - reviews screening designs for qualitative factors at different levels - presents designs for predictive models and their use in optimization - highlights optimization methods, such as steepest ascent, optimum path, canonical analysis, graphical analysis, and desirability - discusses the Taguchi method for quality assurance and approaches for robust scaling up and process transfer - details nonstandard designs and mixtures - analyzes factorial, D-optimal design, and offline quality assurance techniques - reveals how one experimental design evolves from another - 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.

This item is Non-Returnable

Details

  • ISBN-13: 9780824798604
  • ISBN-10: 0824798600
  • Publisher: CRC Press
  • Publish Date: September 1998
  • Dimensions: 9.16 x 6.22 x 1.14 inches
  • Shipping Weight: 1.8 pounds
  • Page Count: 512

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