Application experience in humans, a summary of the clinical practice of traditional Chinese medicine(TCM), serves as an important data source for evaluating the safety, effectiveness, and clinical value of drugs in the development of new Chinese medicine. The collected data serving as the evaluation evidence through statistical analysis are critical to the research on the application experience in humans. This article summarized and analyzed the data characteristics and statistical methodology of application experience of Chinese medicine in humans, and concluded the data types, outcome evaluation, bias evaluation, confounding factors, and missing values. Furthermore, the article emphasized the importance of data analysis of application experience of Chinese medicine in humans for TCM evidence and put forward the current difficulties, such as low data quality and large internal bias, lack of individualized data processing methods, and lack of methods for "disease-syndrome combination" data. We believe that with the development of methodology, the application experience of Chinese medicine in humans can strongly support the development of new drugs in TCM.
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| http://dx.doi.org/10.19540/j.cnki.cjcmm.20220124.601 | DOI Listing |
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