Quantitative data (CERNC) were analyzed using the Rasch model, descriptive statistics and multiple correspondence analysis and classification method (cluster analysis).
Rather than relying solely on conventional statistics to define ERβ association with clinicopathological factors, the authors used two additional statistical approaches: multiple correspondence analysis, and classification and regression tree analysis.
Multiple correspondence analysis and hierarchical clustering identified 6 clinical subtypes and 6 treatment subgroups.
Multiple correspondence analysis and ascendant hierarchical clustering on clinico-biological (symptoms, PTH, plasma phosphorus and alkaline phosphatase) and treatment of SHPT (cinacalcet, vitamin D, calcium, or calcium-free calcic phosphate binder) were performed to identify distinct phenotypes.
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.
Using multiple correspondence analysis and cluster analysis, this study was designed to differentiate profiles of 728 male inmates from penitentiary and psychiatric settings marked by personality traits, SMI and SUDs following different violent patterns.
The taxonomy for the pathways was defined using a combination of multiple correspondence analysis and hierarchical classification analysis.
ψ≥ 10 000 inhabitants [ 43]. βIdentifies variables that were included in the initial multiple correspondence analyses, and were retained in these analyses.
We investigated two complementary methods that characterize the occurrence of RS: factor analysis, comprising Principal Component Analysis (PCA) and Multiple Correspondence Analysis (MCA), and a method of Item Response Theory (IRT).
