How To Develop Drug Products

Author:   Murat Kulahci ,  Anil Menon
Publisher:   Datanumerix LLC
ISBN:  

9798987108611


Pages:   222
Publication Date:   22 April 2023
Format:   Paperback
Availability:   Available To Order   Availability explained
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How To Develop Drug Products


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Overview

How can you unlock the power of experimental design thinking to develop drug products? How do you digest data using tabular and graphical analyses? Which mnemonics help you to recall design and analysis tools? How to Develop Drug Products shows a practical road map to apply experimental designs within a sequential framework. The 15 case studies, 2 mnemonics, templates, and a rhyme will harness your ability to problem solve effectively. Experimental design and analysis the authors reveal promote an investigative mindset and answer 'what to do next' in realizing your goals. Equally startling is the author's journey through the common mistakes in the design and analysis of experiments. Armed with an improved ability to approach development systematically, the methods will strengthen your drug development process.

Full Product Details

Author:   Murat Kulahci ,  Anil Menon
Publisher:   Datanumerix LLC
Imprint:   Datanumerix LLC
Dimensions:   Width: 14.00cm , Height: 1.50cm , Length: 21.60cm
Weight:   0.263kg
ISBN:  

9798987108611


Pages:   222
Publication Date:   22 April 2023
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Reviews

"""A well-done primer. I especially liked the chapters where the authors analyze data and then relate the results back to the original problem at hand."" Dr. Johannes Ledolter. Professor of Business Analytics, University of Iowa. ""Excellent work. It represents a needed breakthrough in promoting understanding of the use of sequential DOE in the CMC area."" Dr Lynne Hare, Statistical Strategies LLC."


""A well-done primer. I especially liked the chapters where the authors analyze data and then relate the results back to the original problem at hand."" Dr. Johannes Ledolter. Professor of Business Analytics, University of Iowa. ""Excellent work. It represents a needed breakthrough in promoting understanding of the use of sequential DOE in the CMC area."" Dr Lynne Hare, Statistical Strategies LLC.


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