“highly significant”

The reduced model was significant and explanatory ( p < 0.0001, adjusted r 2 of 0.57) and contained nine predictor variables, which were all individually significant ( p < 0.05) or highly significant ( p < 0.0001), suggesting the importance of a suite of factors in predicting abundances ( Table 1 ).

Similarly, Figure 4C,4D presents the analysis results of the entire TCGA dataset, showing highly significant differences in survival between the low- and high-risk groups (P<0.0001), consistent with previous results.

This difference is highly significant ( P < 0.0001) Baseline data showed that average antimicrobial prescription rate in FY-19 (2018–2019) was 14.7% in URTI [ Table 1 ].

Bernoulli GLMM analysis of the effect of forest fragment size on tree hyrax singing indicated that “forest size” was a highly significant covariate in tree hyrax singing probability (P-value < 0.0001) (Table 1 e, Fig.

The results in Table 7 demonstrate a highly significant difference among algorithms ( P <0.0001), substantiating the robustness of bDTOPRS in feature selection.

Second, all the model statistics were highly significant ( p < .0001), excepted for the inferior lateral ventricle model for AD which was only significant ( p < .05). 3.3 Classification based on multiple lifespan models To evaluate the classification performance of HAVAs on testing datasets, we performed a comparison with the three most discriminant structures.

A cutoff of 8.8 for max SUVmax advocated in our previous report was highly significant ( p < 0.0001).

This synergy was confirmed through two-way analysis of variance and multiple t -tests, which showed highly significant interactions ( P < 0.0001)[ 33 , 48 ].

The differences where highly significant in the Wilcoxon test (z = - 3.79; p < 0.0001).

Results showed a highly significant difference between h SFs taken up by Pv EVs as opposed to h EVs (unpaired t -test ****p < 0.0001) (Supplementary Fig. 6 ).

All LLR values were positive and the difference from zero was highly significant ( p <0.0001), indicating that the power law provided the better fit to the data.

Comparing all of the nine different chemical blends, there were highly significant differences (P<0.0001).

For the Mania Scale, two-way repeated measures ANOVA with covariance for baseline showed a highly significant effect of time (F = 16.0, df = 2, 28, p < 0.0001) and a significant interaction of time and side of TMS (F = 5.2, df = 1.4, 19.2, p = 0.04, Greenhouse-Geisser-corrected).

RT-qPCR analysis showed that when HOTTIP was interfered with, the expression level of miR-216a-5p exhibited a highly significant upward trend ( P < 0.0001, Fig. 2G ).

Highly significant ( P < 0.0001) differences in susceptibilities to the disease were detected among the evaluated germplasm.

The output of this comparison shows the difference between the models to be highly significant ( Χ 2 (1) = 66.32, p < 0.0001), and the smaller AIC and BIC values and higher log likelihood of the full model also indicate the importance of mean word length as a predictor of the number of tonal contrasts ( Box 2 ).

There was a highly significant ( p = 0.0001) decrease in reticulated hemoglobin level in anemic patients of both sexes, in comparison to non-anemic patients, but the reticulocyte count did not show any significant difference.

Additionally, CCL3 and CCL20 play crucial roles in angiogenesis and immune cell recruitment, supported by highly significant differences in their levels ( P ≤ 0.0001).

Variance between the two years was highly significant ( p < 0.0001), contributing 39.4% to the total phenotypic variance of As accumulation ( Supplementary Table S2 ).

According to the linear mixed-effects model, the covariance parameter estimates for residual variance were highly significant (Z = 4.415, p < 0.0001), indicating a good fit for individual variability.

S3 ; Table S9 ) and highly significant ( P < .0001) association with skin microbiome dissimilarity across all beta-diversity metrics.

The average decrease in fat mass was highly significant ( P < 0.0001), as were decreases in percent body fat and body mass index.

This represents a highly significant association between intervention and change in number of thefts (Fisher’s Exact Test, p = 0.0001; see Fig. 2 ).

Nuclear GSK3ß accumulation provided highly significant prognostic value beyond the established pre- and postoperative parameters in all scenarios irrespective of the ERG status ( p < 0.0001 for all scenarios).

Statistical analysis demonstrated a highly significant difference between the two groups ( p < 0.0001).