Multivariate tests showed differences in health and aging parameters between males and females, and further, differences in male fish between ages and between sites.
However, all observed effects were in the anticipated direction, and a joint multivariate test showed that this finding had a p-value of 0.012.
Multivariate tests indicate statistical values across all components.
Bonferroni's multivariate comparison test showed that there was a significant difference in the hemoglobin levels between patients with renal RI higher than the median value (0.70) and those with renal RI ≤0.7 only in the subgroup of 30 ≤ eGFR <60 ml/min/1.73 m.
Covariates for adjusted Cox analyses were prespecified as variables which were imbalanced in the randomisation arms, and adjusted for in multivariate analyses if univariate tests showed significant association with the outcomes.
Multivariate test results showed the Time (3 factors, beginning, middle, and end) X Benevolence interaction was statistically significant (F 2, 131) = 3.260, p = .042, partial-η2 = .047).047
The combined results were then entered into a joint multivariate test, which showed a p-value of 0.012.
The combined effect of predictors on PH and MH using Wilk's Lambda Multivariate Tests (Table 7) show illness, domestic violence, employment, social and cognitive coping among women in the mining and agricultural communities were significant predictors with this test (Table 7).
The MANOVA carried out on the eight orientation tasks showed that despite the difference of means favouring men in almost every task (see Figure 2B) neither the multivariate test nor the univariate tests showed significant differences between men and women.
Multivariate analysis followed by univariate tests showed that differences existed between three similar subgroups in our material, and pair-wise comparisons confirmed the validity among the patients in the present study.
