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multiple correspondence analysis.
multiple correspondence analysis is conducted.
Multiple correspondence analysis (MCA) and subset MCA are used to study the association of attributes.
The multiple correspondence analysis performs a multivariate analysis, with categorical and quantitative variables.
Fig. 1 Multiple correspondence analysis of STEC-HUS, aHUS and TTP individuals.
Quantitative data (CERNC) were analyzed using the Rasch model, descriptive statistics and multiple correspondence analysis and classification method (cluster analysis).
In a second step, the predicted probabilities are subjected to multiple correspondence analysis and mapped into low-dimensional space.
Multivariate analysis (multiple correspondence analysis and cluster analysis) of 644 respondents was used to identify specific types of manure partnerships.
The multiple correspondence analysis demonstrated that pain was clustered with a reduction in number of steps taken and a reduction in contact-seeking behavior.
In a large sample of healthy young adults, the latent dimensional structure of the SAM was characterized with multiple correspondence analysis (MCA).
A multivariate analysis, consisting of a multiple correspondence analysis (MCA) and cluster analysis, is used to identify groups of farmers with distinct farm characteristics and landscape activities.
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