This difference was highly significant ( t = 12.97, p < .001, d = 1.64).
Excerpts
The analysis revealed a highly significant association between these variables (χ 2 (72)=1963.48, p < 0.001).
In our data, appendectomy was reported by 6.3% of UC cases, 19.3% of CD cases, and 2.8% of non-IBD participants, and this difference was highly significant (χ2 = 26.9, p < 0.001).
The correlation coefficients ranged from 0.70 to 0.99 for all lower limb segments ( figure 4A left), and were all highly significant (p<0.001).
Item 7 “has an intense approach to life” and item 13 “spends his/her day doing things of interest to him/her” were removed due to high fit statistics of 3.03 and 4.36 respectively (>±2.5), and highly significant Chi squared values (p < 0.001).
An increasing trend in age was observed across the BUCR categories (63.52 ± 14.42 vs. 68.70 ± 14.15 vs. 73.48 ± 12.48 years; P < 0.001), along with a progressively greater proportion of male patients (38.56% vs. 42.54% vs. 62.35%; P < 0.001).
The results of the Wald statistical test for independent variables were highly significant (in 11 of 13 cases p < 0.001).
There was a significant trend (p<0.001) for odds of vaccination with increasing categories of age.
The difference in number of endpoints between CC homozygous and T-allele carriers in the group with 4 or 5 MetS criteria was highly significant [OR = 13.3 (95% CI: 3.3, 53.5), p <0.001, adjusted].
The results were considered significant when p (degree of significance) is less than 0.05, very significant when p < 0.01 and highly significant when p < 0.001.
Analysis of variance (ANOVA) shows that the same model has highly significant differences in MAE, RMSE, and MAPE metrics on different datasets and at each prediction step (p < 0.001), and the gradient degradation problem in deep network training is effectively avoided by the residual TCN structure.
Comparative statistical analysis of number and type of mutations in current and previous data The Poisson regression model showed a highly significant (p<0.001) relative increase of the TP53 mutation prevalence in p53 hotspot codons from the current clinical series, compared with IARC database results ( Table 3 ).
Sampling adequacy was confirmed through a Kaiser-Meyer-Olkin measure of 0.939 and a highly significant Bartlett’s test of sphericity (p < 0.001).
However, the effect of variety on fresh weight was highly significant (p < 0.001), indicating that background genetics played a stronger role than salinity treatment on fresh weight.
A Wilcoxon signed-rank test reveals that the improvement is highly significant ( p < 0.001), indicating that the observed gains are not products of random variance but represent a systematic shift in model capability.
Analysis of total extractable inositol phosphates in the ileal digesta by two-way ANOVA showed no significant effect of TiO 2 on the recovery of mixed inositol phosphates ( F 1 , 43 = 0.71, p = 0.4), whereas dietary treatment by way of inclusion of phytase was highly significant ( F 3 , 43 = 93.51, p < 0.001).
(Note that the mixed model is in this case mathematically identical to a General Linear Model.) This model showed a highly significant effect of software on the average latency, F (2786) = 2374, p <.001.
Warming by 4°C resulted in a highly significant reduction in CI from 4.1±0.19 to 2.9±0.17 in mussels held at ambient pH (p<0.001).
Overall, the highly significant p -values (all p < 0.001) indicate that the spatial patterns in the dataset are not random, confirming the presence of structured spatial dependence across the study area.
A two-way ANOSIM test confirmed that differences between survey period were highly significant (Global R: 0.764, P = 0.001) and all pairwise comparisons between periods were significant ( P <0.05).
Multivariate analysis Multi-variate analysis showed that EMVI was a highly significant independent prognostic factor (p<0.001) when other tumour dependent factors including tumour stage, lymph node stage, Dukes stage, tumour site and degree of tumour differentiation as well as patient specific factors of age and gender are considered (Tables 2 and 3 ).
Susceptibility to Baculovirus anticarsia Throughout, comparisons between control and infection treatments were highly significant (χ 2 = 37.51, df = 1, P <0.001), with uninfected and infected larvae surviving for mean times of 261±2 (mean±SE) and 221±4 hours, respectively.
A decreasing trend in annual NSD incidence was observed (p < 0.001).
After additional adjustment for baseline disease severity markers and platelet count in Model 3, the associations remained highly significant (intermediate: aHR = 2.70, 95% CI: 1.60–4.59, p < 0.001; late: aHR = 6.33, 95% CI: 3.42–11.70, p < 0.001).
The variance in allele sizes ( Vp ) is relatively variable among population groups, especially so for the Frequency dataset ( Figure 2A ), and the differences for this last dataset are indeed highly significant (Kruskal-Wallis test, P<0.001 ).