title: [Adequate application of quantitative and qualitative statistic analytic methods in acupuncture clinical trials].
abstract: Recently, proper use of the statistical methods in traditional Chinese medicine (TCM) randomized controlled trials (RCTs) has received increased attention. Statistical inference based on hypothesis testing is the foundation of clinical trials and evidence-based medicine. In this article, the authors described the methodological differences between literature published in Chinese and Western journals in the design and analysis of acupuncture RCTs and the application of basic statistical principles. In China, qualitative analysis method has been widely used in acupuncture and TCM clinical trials, while the between-group quantitative analysis methods on clinical symptom scores are commonly used in the West. The evidence for and against these analytical differences were discussed based on the data of RCTs assessing acupuncture for pain relief. The authors concluded that although both methods have their unique advantages, quantitative analysis should be used as the primary analysis while qualitative analysis can be a secondary criterion for analysis. The purpose of this paper is to inspire further discussion of such special issues in clinical research design and thus contribute to the increased scientific rigor of TCM research.
authors.affiliation: Division of Biostatistics and Bioinformatics, University of Maryland School of Medicine, Baltimore, Maryland 21021, USA.
authors.forename: Ming T
authors.initials: MT
authors.lastname: Tan
authors.forename: Jian-ping
authors.initials: JP
authors.lastname: Liu
authors.forename: Lixing
authors.initials: L
authors.lastname: Lao
mesh_terms: D015670:Acupuncture Therapy / Q000379:methods*; D003627:Data Interpretation, Statistical; D019317:Evidence-Based Medicine; D008516:Medicine, Chinese Traditional / Q000379:methods; D016032:Randomized Controlled Trials as Topic; D012107:Research Design