Statistics in Drug Research - Methodologies and Recent Developments

Informationen zum Autor Chow, Shein-Chung; Shao, Jun Klappentext Emphasizing the role of good statistical practices (GSP) in drug research and formulation, this book outlines important statistics applications for each stage of pharmaceutical development to ensure the valid design, analysis, and assessment of drug products under investigation and establish the safety and efficacy of pharmaceutical compounds. Coverage include statistical techniques for assay validation and evaluation of drug performance characteristics, testing population/individual bioequivalence and in vitro bioequivalence according to the most recent FDA guidelines, basic considerations for the design and analysis of therapeutic equivalence and noninferiority trials. Zusammenfassung Emphasizing the role of good statistical practices (GSP) in drug research and formulation, this book outlines important statistics applications for each stage of pharmaceutical development to ensure the valid design, analysis, and assessment of drug products under investigation and establish the safety and efficacy of pharmaceutical compounds. Inhaltsverzeichnis Introduction. harmaceutical Validation. Dissolution Testing. Stability Analysis. Bioavailability and Bioequivalence. Randomization and Blinding. Substantial Evidence In Clinical Development. Therapeutic Equivalence and Noninferiority. Analysis of Incomplete Data. Meta-Analysis. Quality of Life. Medical Imaging. References. Index.

Product details

• Authors: Chow Chow, Shein-Chung Chow, Shein-Chung (Duke Univ Chow, Shein-Chung Shao Chow, CHOW SHEIN CHUNG SHAO JUN, Jun Shao
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 20.02.2002
• EAN: 9780824707637
• ISBN: 978-0-8247-0763-7
• No. of pages: 384
• Series: Chapman & Hall/CRC Biostatistics Series; Chapman & Hall/CRC Biostatisti; Chapman & Hall/CRC Biostatistics Series
• Subject: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics