Features shown to maintain the association with surgical outcome in multivariate analysis were used to generate a predictive model.
Based on three distinct but complementary readings (in situ visual analysis, land use change analysis (1968 1997) and sociodemographic information surveys), and on the possibilities generated by multivariate analysis, it aims to identify: (1) residential settlement patterns according to landscape contexts and (2) local landscape transformations.
Three principal components (first three axes), explaining 25% of variation, were sufficient to represent most of the structured information generated with multivariate analysis and reconfirmed the groupings of different accessions resultant from the UPGMA-based phenogram (Supplementary Fig. S2).
To assess the possibility that potential confounders could be responsible for the strong separation observed between schizophrenics and controls we have analysed PCA plots generated by the multivariate analysis in the context of additional parameters, including psychotropic drug treatment.
Because multivariate analysis is time consuming, we before generated a new synthetic variable (CV5) combining the 5 genes.
The individual concentration maps generated from the multivariate analysis of the HSS image data demonstrate that, for this spot, the diameters of Cy5 and Cy3 hybridization are equal, although little Cy3 is present (Fig. 4c d).
For multivariate analysis, some variables were aggregated to generate more meaningful results and to avoid multicollinearity.
Significant variables were then examined by multivariate analysis using the Cox model to generate hazard ratios (HR) and 95% confidence intervals (95% CI).
The results generated from univariate analysis and multivariate analysis often complement each other.
Forest plots in excel software were used to generate figures (1a – c) for multivariate analysis [10].
