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Traditional Medicine Research  2017, Vol. 2 Issue (2): 88-93    DOI: 10.12032/TMR201706042
Review     
The applications of Bayesian models in real-world studies of traditional Chinese medicine: a primer
Zhai Jing-Bo1, Li Jiang2, Chen Jing3,*()
1Institute of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, 312 Anshanxi Road, Nankai District, Tianjin 300193, China. 2Program office for Cancer Screening in Urban China, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China. 3Baokang hospital, Tianjin university of traditional Chinese medicine, Tianjin, 300193, China.
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Highlights:

Real-world study is valuable for traditional Chinese medicine. However, there are no gold standards of statistical approaches for analyzing data from real-world study of traditional Chinese medicine. In the present study, we discussed why and when to use Bayesian analysis and the challenge in the real-world study of traditional Chinese medicine.

Abstract

Real-world study is valuable for traditional Chinese medicine. However, there are no gold standards of statistical approaches for analyzing data from real-world study of traditional Chinese medicine. With the development of computer technology, researchers have increasingly paid attention to Bayesian statistics in the biomedical field. In present study, real-world study and Bayesian statistics were introduced. It was discussed that why and when to use Bayesian analysis and the challenge in the real-world study of traditional Chinese medicine.



Key wordsTraditional Chinese medicine      Real-world study      Bayesian models     
Published: 05 April 2017
Corresponding Authors: Chen Jing     E-mail: cjshcsyc@126.com
About author: Executive Editor: Cui-Hong Zhu English Editor: Lin Li, Li-Yun-Cui, Ya-Song Wang, Xiao-Hua Zhang, Xiao-Dong Wang, Hong-Xu Zhu, Zhen-Yan Liu, Yi-Cheng Shi
Cite this article:

Zhai Jing-Bo, Li Jiang, Chen Jing. The applications of Bayesian models in real-world studies of traditional Chinese medicine: a primer. Traditional Medicine Research, 2017, 2(2): 88-93. doi: 10.12032/TMR201706042

URL:

https://www.tmrjournals.com/tmr/EN/10.12032/TMR201706042     OR     https://www.tmrjournals.com/tmr/EN/Y2017/V2/I2/88

Figure 1 the flow chart of evidence updated by bayesian methods.
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