Evaluation of the Conjoint Efficacy in Chinese Medicine with the Longitudinal Latent Variable Linear Mixed Model  

作　　者：Dan-hui Yi 易丹辉 (11095) (21095) (31095)   Yang Li 李 扬 (11095) (31095) (41095)   Shu-xin Shao 邵淑新 (51095)   Yan-ming Xie 谢雁鸣 (61095)   Ya Yuwen 宇文亚 (61095)  

机构地区：11095. Center for Applied Statistics, Renmin University of China, Beijing, 100872, China 21095. International College (Suzhou Research Institute), Renmin University of China, Suzhou, Jiangsu Province, 215123, China 31095. School of Statistics, Renmin University of China, Beijing, 100872, China 41095. School of Public Health, Yale University, New Haven, CT, 06511, USA 51095. Graduate School of Business, Columbia University, New York, NY, 10027, USA 61095. Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China

出　　处：《Chinese Journal of Integrative Medicine》2013年第8期629-635,共7页中国结合医学杂志（英文版）

基　　金：The Chinese Journal of integrated Traditional and Western Medicine Press and Springer-Verlag Berlin Heidelberg 2012 ＊Supported by the National High-Tech Research and Development Program （No. 2007AA02Z4B2）, National Key Technologies Research and Development Program （No. 2006BAI08B05-09）, Key Research Institute of Humanities and Social Sciences Program （No. 2009JJD910002）, and Research Supporting Fund for Graduates by Renmin University of China （No. 08XNH061）

摘　　要：Chinese medicine （CM） clinical efficacy evaluation research involves the longitudinal multivariate measurement which means that patients are measured repeatedly and each patient is measured by several indicators on each fixed cross-section. Although each indicator can be evaluated separately with a longitudinal linear mixed model, it is important to consider all the endpoints together especially when researchers pay special attention to the change of the conjoint efficacy for several indicators in one patient. In this article, we introduce a latent variable linear mixed model to the CM conjoint efficacy evaluation and discuss why and how to analyze the longitudinal multivariate endpoint data in the clinical CM efficacy evaluation research. It may lead to the new insight of using such methodology in the field of conjoint efficacy evaluating of CM study. And with the definition of syndrome and symptom in the CM theory, the applied discussion brings the insight of CM syndrome evaluating in future. We illustrate this methodology using an example of CM efficacy evaluation from an ischemic stroke research.Chinese medicine （CM） clinical efficacy evaluation research involves the longitudinal multivariate measurement which means that patients are measured repeatedly and each patient is measured by several indicators on each fixed cross-section. Although each indicator can be evaluated separately with a longitudinal linear mixed model, it is important to consider all the endpoints together especially when researchers pay special attention to the change of the conjoint efficacy for several indicators in one patient. In this article, we introduce a latent variable linear mixed model to the CM conjoint efficacy evaluation and discuss why and how to analyze the longitudinal multivariate endpoint data in the clinical CM efficacy evaluation research. It may lead to the new insight of using such methodology in the field of conjoint efficacy evaluating of CM study. And with the definition of syndrome and symptom in the CM theory, the applied discussion brings the insight of CM syndrome evaluating in future. We illustrate this methodology using an example of CM efficacy evaluation from an ischemic stroke research.

关 键 词：Chinese medicine efficacy evaluation multiple endpoints longitudinal data latent variable ischemic stroke 

分 类 号：O212.1[理学—概率论与数理统计] S859.795[理学—数学]