Subsequent MANOVA performed on this dataset revealed that our discriminant analysis was highly significant (Wilks Lambda = 0.017; F (2,32) = 66.3; p < 0.001).
Excerpts
Regarding colony diameter, a highly significant difference was observed (F 8,18 = 15.85, p = 0.001).
When long-term mortality was assessed at total follow-up of maximum 16 years in the same multivariate Cox regression model, the prognostic impact of IE somehow attenuated, but remained highly significant (HR 1.73, [1.29–2.32], p < 0.001).
VA Difference and Letter Distortion The relationship between interocular VA difference (logMAR) and the average distortion intensity (average of all three letter types) across the subjects was strong and highly significant ( r = 0.7, P < 0.001).
Subgroup analyses by sex showed that the associations of CSD with GDS score became stronger with a significant trend (P < 0.001) in women.
P-value was also used to indicate the level of significance (P ≤ 0.05: significant, and P < 0.001: highly significant).
An increasing trend in all three types of obesity was observed with increasing education status ( P <0.001).
Consequently, Saccharomyces cerevisiae uniquely achieved highly significant ( p < 0.001) antioxidant improvements, whereas other strains showed moderate or non-significant responses despite high Se yields.
Statistical analysis confirmed a highly significant association between screen time duration and risk of personal–social development (p < 0.001).
First, the dataset is suitable for the reduction technique as the Bartlett test of sphericity was highly significant ( p <0.001).
All correlations were highly significant ( P < 0.001) apart from those between birthweight and the 8, 12, 17, and 22 weeks weight of Av BW pigs ( P < 0.05).
Intergroup differences were hierarchically interpreted as follows: p < 0.05, significant; p < 0.01, highly significant; p < 0.001, extremely significant. 3.
In our population, an overexpression of c-erbB-2 was observed in 17% of tumours but no significant relationship between c- erbB-2 and Nmel expression could be demonstrated. Furthermore, Nmel expression was independent of another metastasis predictive factor, cathepsin D levels, suggesting that the metastasis process involving Nmel protein could be different from that of cathepsin D. We have described here highly significant relationships between Nmel expression and metastasis-free survival (P<0.001) and specific survival (P<0.001).
Statistical analysis Statistical analysis was calculated by Tukey’s post-hoc test with statistical significance assigned at ** P < 0.01 (moderately significant), *** P < 0.001 (highly significant).
Mean pre-test score was 61.49 and mean post-test score was 73.16; the mean difference of 11.66 was highly significant using paired t -tests ( p < 0.001).
The date of 50% canopy autumn senescence (JD 50 ) in the Swedish Central Collection of heirloom cultivars showed strong to very strong correlations between the 3 years ( r = 0.65, 0.70 and 0.86; Figure 2a ), and were all highly significant ( p < 0.001).
The statistical analysis also indicates that the difference in populations is highly significant ( p < 0.001).
When evaluating the three PGSs in GOCS, we found a’s moderately significant correlation with serum TB levels, for the cohort, boys, and girls (Spearman ρ = 0.50–0.52, ρ = 0.59–0.60, and ρ = 0.45–0.47, respectively) (all p < 0.001) ( Supplementary Figure S1 ).
Vole Availability and Territoriality A highly significant difference in the vole abundance index between territorial and non-territorial individuals was detected, with a large effect size (U = −3.86, p < 0.001, r = 0.757; Figure 3 ).
There was a highly significant difference between pregnant and non-pregnant women with respect to age (p < 0.001), JZV (p = 0.003), and JZV/EV (p < 0.001) on the day before transplantation.
As there was increase in the duration of diabetes, the PN was shown to be increased, and it is statistically highly significant with the P < 0.001 with the odds ratio of 0.23 (95% CI 0.13–0.39).
The multivariate model showed a highly significant effect of age at diagnosis ( p < 0.001), age interactions with TGFB2 methylation ( p = 0.001), and age with sex ( p = 0.014) ( Figure 2 ).
low HrQoL groups: the Wilks’s lambda test [Wilks = 0.54] and the canonical correlations for the function were highly significant ( p < 0.001).
Results show a highly significant difference between Zhe-Maidong and Chuan-Maidong and Zhe-Maidong and Chuan-Maidong with paclobutrazol (both p < 0.001) and a significant difference between Chuan-Maidong and Chuan-Maidong with paclobutrazol ( p = 0.041).
Individual comparisons of Faces to each stimulus category (birds, cars, phones, and scrambled faces) revealed highly significant effects (all p < 0.001).