Chapman and Hall/CRC
A Western-Based Approach to Analyzing TCMs
In recent years, many pharmaceutical companies and clinical research organizations have been focusing on the development of traditional Chinese (herbal) medicines (TCMs) as alternatives to treating critical or life-threatening diseases and as pathways to personalized medicine.
Quantitative Methods for Traditional Chinese Medicine Development is the first book entirely devoted to the design and analysis of TCM development from a Western perspective, i.e., evidence-based clinical research and development. The book provides not only a comprehensive summary of innovative quantitative methods for developing TCMs but also a useful desk reference for principal investigators involved in personalized medicine.
Written by one of the world’s most prominent biostatistics researchers, the book connects the pharmaceutical industry, regulatory agencies, and academia. It presents a state-of-the-art examination of the subject for:
This book covers all of the statistical issues encountered at various stages of pharmaceutical/clinical development of a TCM. It explains regulatory requirements; product specifications and standards; and various statistical techniques for evaluation of TCMs, validation of diagnostic procedures, and testing consistency. It also contains an entire chapter of case studies and addresses critical issues in TCM development and FAQs from a
Introduction. Global Pharmaceutical Development. Regulations on Traditional Chinese Medicine. Reference Standards and Product Specifications. QOL-Like Instrument for Evaluation of TCM. Factor Analysis and Principal Component Analysis. Statistical Validation of Chinese Diagnostic Procedures. Statistical Test for Consistency. Statistical Process for Quality Control/Assurance. Bioavailability and Bioequivalence. Population Pharmacokinetics. Experience of Generic Drug Products with Multiple Components. Stability Analysis for Drug Products with Multiple Components. Case Studies. Current Issues and Recent Developments.