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Open image in new window Fig. 5 Path diagram analysis (factor 1 factor 3).
Methods used are: Principal Component Analysis, Factor Analysis and Cluster Analysis.
Spatial analysis, factor analysis, structural-spatial regression analysis, and survey data were employed.
Well-known linear transformation methods include principal component analysis, factor analysis, and projection pursuit.
Descriptive analysis, factor analysis, and multiple linear regression were used as a methodology to achieve the objective of the study.
Hospital death among ICU-admitted diabetic patients: univariate analysis and conditional forward stepwise multivariate analysis with metformin as analysis factor.
Hospital death among metformin patients: univariate analysis and conditional forward stepwise multivariate analysis with usual contraindication as analysis factor.
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In univariate analysis, factors were considered significant when p < 0.05.
After multivariate analysis factors associated with the awareness of M were 6 (Table 1).
This same analysis factors into computer generated designs as well.
Factorial validity was supported through exploratory factor analysis (factor-item correlation = 0.33-0.96 for children, 0.55-1.00 for parents).
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