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Spatial sampling of the laminar pattern is performed with density profiles, followed by multivariate analysis of the profiles' shape, which locates the cytoarchitectonic borders between neighboring cortical areas at sites where the laminar pattern changes significantly.
As expected, there are significant cluster differences, which were examined by multivariate analysis of variance (see Table 1).
These five conceptually based clusters were first analyzed by multivariate analysis of variance procedures, followed by univariate analyses of the individual variables composing each domain.
Because the dependent variables (δN, δC, %N, %C and C/N) may be correlated, significant differences between feeding treatments were assessed by multivariate analysis of variance (MANOVA).
Differences were analyzed by multivariate analysis of variance MANOVA.
Table 6 shows the results obtained by multivariate analysis of factors influencing on OS.
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However, by multivariate analysis, none of the ECG alterations was related to outcome.
Independent prognostic factors for development of local recurrence as calculated by multivariate analysis were CRM of 0 mm (P = 0.024) and pN1 status (P = 0.021).
By multivariate analysis, tumor involvement of the SMV/PV was an independent predictor of both disease-free survival (DFS) and overall survival (OS).
In fact by multivariate analysis the probability of a poorer outcome was increased by 40% in terms of PFS and by 35% in terms of OS.
Then, by multivariate analysis, only laterality of the cancer detected by biopsy was an independent predictive parameter of PSA-PFS.
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