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Groups of defining characteristics with greater differentiation capacity were identified by multiple correspondence analyses.
Organizational characteristics were analyzed descriptively, while organizational models were identified by multiple correspondence analyses.
Final multiple correspondence analyses were then conducted using the coordinates of each organization for the significant dimensions obtained by multiple correspondence analyses of each organizational component.
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It is notable that 70% of subjects in the ≥ 24 mmHg group achieved IOP levels of ≤ 18 mmHg by month 3. Initial multiple correspondence analyses of the full variable set identified six potential predictors of response to treatment (IOP reduction ≥ 30% between baseline and month 3): age, gender, initial IOP stratum, current diagnosis, family history of ocular hypertension or glaucoma, and myopia.
The choice of variables to include in our multiple correspondence analyses was influenced by the aim of our other related study of physiotherapists' interprofessional practices and probably influenced the results.
Clustering and multiple correspondence analyses showed that the DLN pathologies induced by the two species were statistically significantly different and identified the most discriminating elementary lesions.
Cluster analysis was used to define a well typology, while principal component and multiple correspondence analyses were used to relate the nitrate pollution to well characteristics and land use properties.
Then multiple correspondence analyses is used through two main stages: 1) with the membership value table coming from healthy drivers and 2) with the table from disabled drivers, the table rows being considered as supplementary points.
Multiple correspondence analyses were run for the entire dataset, and several vetted subsets that removed potential problematic taxa (see Supporting Information Text S1).
Finally, multiple correspondence analyses was conducted to propose a typology of case management.
We used multiple correspondence analyses (MCA) to explore similarities and distances between barriers.
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