Evidence-based Research Methods for Chinese Medicine (eBook, PDF)

Redaktion: Leung, Siu-Wai; Hu, Hao

• Format: PDF

Produktbeschreibung

This book is a practical guide to the evidence-based medicine (EBM) research methods that are applicable to Chinese medicine (CM). It includes 3 parts: clinical research, healthcare data research and laboratory research. In each chapter, it explains how to acquire, analyze and evaluate a specific kind of CM research result. Authors exemplify the most important methods with successful cases in transforming reliable data into new knowledge of CM. This book emphasizes the requirements for CM researchers to design and conduct CM studies by following the best available principles, standards and guidelines.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 197
• Erscheinungstermin: 24. November 2016
• Englisch
• ISBN-13: 9789811022906
• Artikelnr.: 53153139

Autorenporträt

Editor Siu-wai Leung is the Editor-in-Chief of the journal: Chinese Medicine. He and Associate Professor Hao Hu are from Institute of Chinese Medical Sciences, University of Macau.

Inhaltsangabe

Methodology for clinical studies on traditional Chinese medicine.- Placebo controlled trials in acupuncture: problems and solutions.- Effectiveness assessment of Chinese medicine in clinical research.- Network meta-analysis of Chinese medicine clinical research.- Informatics for molecular authentication of Chinese medicinal material.- Chinese medicine in pharmacological research of neurological diseases.- Chinese medicine drug development for menopause.- Chinese medicine proteins and peptides isolated from Chinese medicines.- Proteomics response fingerprinting (ProRef) for rapid identification of protein targets for traditional Chinese medicine .- Integrating multiple "omics" analysis for Chinese medicine research and development.- Standard data collection procedures in studies on Chinese medicine.- Statistical methods for assessment of inter-rater reliability for Chinese medicine diagnosis.- New research practices for reducing biases and errors in research.- Ethical research practices that are often overlooked and ill-reported.