Elevated EphA4, A5 and A7 expression were identified as predictors of favourable patients' survival at both univariate (Log-rank test, 0 = 0.019, p = 0.006 and p = 0.012, respectively) and multivariate levels (Cox-regression analysis, p = 0.029, p = 0.068 and p = 0.044, respectively).
Table 3 shows ORs of the multivariate logistic regression and coefficients of the multivariate linear regression associated with predictive factors of FA exposure classes and FA levels, respectively.
Factors influencing patient satisfaction with dental appearance were determined at both the univariate and multivariate levels using simple logistic regression analysis and multiple logistic regression analysis, respectively.
The analysis was performed at both univariate and multivariate levels, with a level of significance defined at a probability value less than 0.05 (P<0.05) and 0.1 (P<0.1), respectively.
Multivariate statistical analysis for evaluation and interpretation of the data allows discriminating between natural and anthropogenic origin of contaminants and pollution levels respectively, within a contaminated site [41 43].
Cox analysis was conducted at both univariate and multivariate levels.
This analysis was conducted at both univariate and multivariate levels.
In the multivariate model, which now also controlled for the time interval between time 1 and time 2, the HRs for diabetes were 3.17 (95% CI 1.09 8.67) and 7.08 (2.52–14.45) in individuals with triglyceride levels at both time points in the intermediate- or high- tertile levels, respectively.
Dizziness and prior UTI were significant at the multivariate level.
At the multivariate level, five models were fitted in all.
