Multilevel models in the analysis of center effect in clinical trials / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 632-636, 2014.
Article
in Chinese
| WPRIM
| ID: wpr-290702
ABSTRACT
Multilevel models are applicable to both the quantitative data and categorical variables. We used the methods, including the multilevel models, analysis of covariance and CMH chi-square test, to analyse different types of data, to explore the application of multilevel models in the analysis of the multicenter clinical trial center effect. The results showed that the analysis of covariance is more sensitive to find the center effect for quantitative data, while multilevel models are more sensitive to categorical variables. It can be seen that results with different analytical methods for center effect are not the same, and the most appropriate method should be selected in accordance with the characteristics of data, the objective of research, and the applicable conditions of the various methods in practical use.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Research Design
/
Clinical Trials as Topic
/
Models, Theoretical
Type of study:
Prognostic study
Limits:
Humans
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2014
Type:
Article
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