Evaluation of the conjoint efficacy in Chinese medicine with the longitudinal latent variable linear mixed model

Dan-hui Yi; Yang Li; Shu-xin Shao; Yan-ming Xie; Ya Yuwen

doi:10.1007/s11655-012-1095-x

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Evaluation of the conjoint efficacy in Chinese medicine with the longitudinal latent variable linear mixed model

OriginalPaper | Updated：2021-08-27

- Evaluation of the conjoint efficacy in Chinese medicine with the longitudinal latent variable linear mixed model
- Evaluation of the conjoint efficacy in Chinese medicine with the longitudinal latent variable linear mixed model
- 中国结合医学杂志（英文版） 2013年19卷第8期页码：629-635
- Affiliations：
  
  1. Center for Applied Statistics, Renmin University of China,Beijing,China
  2. International College (Suzhou Research Institute), Renmin University of China,Jiangsu Province,Suzhou,China
  3. School of Statistics, Renmin University of China,Beijing,China
  4. School of Public Health, Yale University,New Haven,USA
  5. Graduate School of Business, Columbia University,New York,USA
  6. Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences,Beijing,China
- Author bio：
- Funds：
  
  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)
- DOI：10.1007/s11655-012-1095-x
  中图分类号：
- 纸质出版日期：2013，
  
  网络出版日期：2012-4-26，
Scan for full text
Yi, Dh., Li, Y., Shao, Sx. et al. Evaluation of the conjoint efficacy in Chinese medicine with the longitudinal latent variable linear mixed model., Chin. J. Integr. Med. 19, 629–635 (2013). https://doi.org/10.1007/s11655-012-1095-x

Dan-hui Yi, Yang Li, Shu-xin Shao, et al. Evaluation of the conjoint efficacy in Chinese medicine with the longitudinal latent variable linear mixed model[J]. Chinese Journal of Integrative Medicine, 2013,19(8):629-635.
Yi, Dh., Li, Y., Shao, Sx. et al. Evaluation of the conjoint efficacy in Chinese medicine with the longitudinal latent variable linear mixed model., Chin. J. Integr. Med. 19, 629–635 (2013). https://doi.org/10.1007/s11655-012-1095-x DOI：

Dan-hui Yi, Yang Li, Shu-xin Shao, et al. Evaluation of the conjoint efficacy in Chinese medicine with the longitudinal latent variable linear mixed model[J]. Chinese Journal of Integrative Medicine, 2013,19(8):629-635. DOI： 10.1007/s11655-012-1095-x.

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.

Abstract

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

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 Medicineefficacy evaluationmultiple endpointslongitudinal datalatent variableischemic stroke

Keywords

Chinese Medicineefficacy evaluationmultiple endpointslongitudinal datalatent variableischemic stroke

references

Legler J, Lefkopoulou M, and Ryan L. Efficiency and power of tests for multiple binary outcomes. J Am Stat Assoc 1995;90:680–693.

Kosorok MR, Shi YJ, Demets DL. Design and analysis of group sequential clinical trials with multiple primary Endpoints. Biometrics 2004;60:134–145.

Offen WW, Chuang-Stein C, Dmitrienko A, Littman G, Maca J, Meyerson L, et al. Multiple co-primary endpoints: medical and statistical solutions. Drug Inf J 2007;41:31–46.

Liu Y, Hsu J, Ruberg S. Partition testing in dose-response studies with multiple endpoints. Pharm Stat 2007;6:181–192.

Catalano PJ, Ryan LM. Bivariate latent variable models for clustered discrete and continuous outcomes. J Am Stat Assoc 1992;87:651–658.

Sammel MD, Ryan LM. Latent variable models with fixed effects. Biometrics 1996;52:650–663.

Roy J, Lin X. Latent variable models for longitudinal data and multiple continuous outcomes. Biometrics 2000;56:1047–1054.

Roy J, Lin X. Analysis of multivariate longitudinal outcomes with nonignorable dropouts and missing covariates: changes in methadone treatment practices. J Am Stat Assoc 2002;97:40–52.

Yi DH. Structural equation model: theory and application. Beijing: Renmin University of China Press; 2008.

Lohmöller JB. Latent variable path modeling with Partial Least Squares. Berlin: Physica-Verlag Heidelberg; 1989.

Li MN. An introduction to Amos and its uses in scale development: graphics and basics. Taiwan: Psychology Press; 2006.

Wang YY. The standard for diagnosis and efficacy evaluation of stroke in TCM (draft). Chin J Tradit Chin Med Pharm (Chin) 1986;1:120–121.

The collaboration Group of Encephalopathy Emergency of State Administration of Traditional Chinese Medicine. The TCM diagnosis and efficacy evaluation standard for stroke. J Beijing Univ Tradit Chin Med (Chin) 1996;19:55–56.

Yuwen Y. The research of clinical effectiveness evaluation of TCM ischemic stroke rehabilitation project based on counterfactual model [dissertation]. Beijing: China Academy of Chinese Medicine Science; 2009.

Lai SM, Duncan PW, Keighley J. Prediction of functional outcome after stroke. Comparison of the Orpington Prognostic Scale and the NIH Stroke Scale. Stroke 1998;29:1838–1842.

Lyden P, Mei L, Jackson C, Marler J, Rashmi K, Thomas B, et al. Underlying structure of the National Institutes of Health Stroke Scale: results of a factor analysis. Stroke 1999;30:2347–2354.

Fugl-Meyer AR, Jaasko L, Leyman I. The post-stroke hemiplegic patient. 1. a method for evaluation of physical performance. J Rehab Med 1975;7:13–31.

Fugl-Meyer AR. Post-stroke hemiplegia: assessment of physical properties. J Rehab Med 1980;7:85–93.

Hartley HO, Hocking RR. The analysis of incomplete data. Biometrics 1971;14:174–194.

Thomas AL. Finding the observed information matrix when using the EM algorithm. J Roy Stat Soc (Series B) 1982;44:226–233.

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