Statistical design and analysis in pharmaceutical science
validation, process controls, and stability
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Author
Contributions
- Liu, Jen-pei, 1952- - Contributor
Publication
1995 - M. Dekker, New York, New York (State)
Language
English
Word Count
141,000 words, Guess
Page Count
564 pages
Identifiers
- Open LibraryOL1117415M
- ISBN-100824793366
- OCLC Control Number1047532528
- OCLC Control Number44955014
- OCLC Control Number31604915
and 3 more
- OCLC Control Numberstatisticaldesig00chow_451
- Library of Congress Control Number94043570
- Goodreads2237281
Classifications
- DDC615/.1/072
- LCCRS122.2 .C48 1995
Description
Covering in detail validation, quality assurance, and stability studies, Statistical Design and Analysis in Pharmaceutical Science furnishes definitions, background information, and regulatory requirements . . . addresses statistical designs and methods for assay development and validation . . . delineates specification limits and United States Pharmacopeia tests for various dosage forms . . . elucidates validation of manufacturing processes, including prospective, concurrent, and retrospective validation and revalidation . . . examines chemical kinetic models used in accelerated stability testing, statistical analysis, and prediction through the Arrhenius equation . . . compares stability designs and introduces statistical analysis of stability data based on fixed effect models . . . and much more. This practical reference/text offers a comprehensive, unified presentation of statistical designs and methods of analysis for all stages of pharmaceutical development - emphasizing biopharmaceutical applications, demonstrating statistical techniques with real-world examples, and supplying Current Good Manufacturing Practice (CGMP), U.S. Food and Drug Administration (FDA), and International Conference on Harmonization (ICH) guidelines on stability studies.
Subjects
Topics
Series Statement
- Statistics, textbooks and monographs ;
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