Special Issue Paper
Article first published online: 3 OCT 2011
Copyright © 2011 John Wiley & Sons, Ltd.
Statistics in Medicine
Special Issue: Statistical Methods and Issues in Traditional Chinese Medicine
Volume 31, Issue 7, pages 672–680, 30 March 2012
How to Cite
Li, Y., Yi, D., Zhang, H. and Qin, Y. (2012), Syndrome evaluation in traditional Chinese medicine using second-order latent variable model. Statist. Med., 31: 672–680. doi: 10.1002/sim.4335
- Issue published online: 6 MAR 2012
- Article first published online: 3 OCT 2011
- Manuscript Accepted: 6 JUN 2011
- Manuscript Received: 1 FEB 2010
- traditional Chinese medicine;
- syndrome evaluation;
- latent variable model
The syndrome is one of the most important concepts and ingredients in the theoretical and clinical research of traditional Chinese medicine (TCM). TCM doctors believe that all diseases are caused by an imbalance in the patient's body, which is called syndrome. All the therapies and formulas in TCM are decided according to the patients' syndrome situation. To quantitatively evaluate the level of syndrome, many statistical methodologies have been discussed in recent years. In this article, we introduce a second-order latent variable model to evaluate the level of patients' syndrome with many clinical symptoms. An objective evaluation score can be easily derived by the proposed model, with a high speed of convergence and without joint-distribution assumption. We illustrate the application of this model by an analysis of premenstrual disorder syndrome of liver-qi invasion syndrome evaluation research. Copyright © 2011 John Wiley & Sons, Ltd.