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Multivariate tests showed differences in health and aging parameters between males and females, and further, differences in male fish between ages and between sites.
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P values from post hoc tests are displayed in Figures 1, 2, 3 whenever multivariate tests show significant overall effects.
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.
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.
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.
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.
Multivariate ordination technique (redundancy analysis (RDA) combined with Monte Carlo permutation tests) showed that exposure to cypermethrin caused significant changes in the species composition of the communities.
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.
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