“highly significant”

The genetic differentiation between goat and sheep was not significant (P = 0.1318) whereas the values obtained for the other comparisons were highly significant (P < 0.001).

Emotional abuse, physical abuse, emotional and physical neglect, and a household member's substance dependence as well as mental illness show highly significant differences ( p =< 0.001).

QGI consistently outperformed the other approaches, showing highly significant differences in phenotypic variance between iso - and allo -elite progeny at all locus levels ( p < 0.001) (Fig. 5 J).

The results revealed that the variance due to genotype, environment, and G×E interaction was highly significant (P < 0.001) for all traits.

Results Quantitative variation in biomass and related traits A highly significant variation (p < 0.001) was observed among genotypes for all agronomic traits each and across years (Tables 2 and 3 ).

The statistically highly significant value of P < 0.001 indicates that the concentration of pilocarpine administered has an impact on the pupil size.

The results of current study revealed a highly significant ( p < 0.001) increase in the levels of CRP (76.29 ± 25.50), IL-6 (383.49 ± 213.84), PCT (0.82 ± 0.35), and LDH (480.43 ± 96.08) in the sera of nonsurvival severe COVID-19 patients when compared to survival severe COVID-19 patients (59.81 ± 16.69; 63.75 ± 44.71; 0.19 ± 0.14 and 273.54 ± 99.68; respectively).

Results The differences in the total physical activity Mets for the patients with schizophrenia were highly significant (p = 0.001), showing a lower degree of physical activity compared to the control group.

So, controlling for depression, there was no main effect for group [arousal: F (1, 38) = 0.54, p = 0.47; valence: F (1, 38) = 0.70, p = 0.41] or interaction effects group x task [arousal: F (1, 38) = 0.23, p = 0.63; valence: F (1, 38) = 1.41, p = 0.24], whereas effects of task were highly significant [arousal: F (1, 38) = 63.18, p < 0.001; valence: F (1, 38) = 58.23, p < 0.001].

Multivariable chi-square analysis revealed highly significant sex-based distribution disparities across anatomic subsites ( p < 0.001) (Table 2 ), suggesting that sex may influence disease characteristics through anatomic microenvironmental factors.

This difference was demonstrated by the chi-square value (838.8) which appeared to be highly significant ( P < 0.001, df = 16), indicating that the present OLM with full information is statistically fit to data better than using the model with only constant term (Manu et al. 2020 ).

The chi-square test revealed a highly significant association between the type of treatment and recurrence (p<0.001) (Table 5 ).

The difference was highly significant ( p < 0.001, Student’s t-test, unpaired data).

Results Soil chemical properties Soil pH and exchangeable bases Treatments effects were highly significant for soil pH (F = 73.58, p < 0.001).

In line with the above notion, the results show highly significant association of coagulation-related proteins in the deregulated MEV proteome using a chi-square analysis (χ 2 , p < 0.001) ( Supplementary Table S5 ).

The multivariable results confirmed that the net differences between the early group (intervention phase) and late group (control phase) were highly significant for all the following biophysical indicators assessed: weight, waist circumference, SBP, DBP (all P values < .001).

Inconsistent results had been published on the relationship between plasma oestradiol levels and breast cancer risk, but this overview analysis of nine studies revealed a highly significant relationship (Fig. 1 ) in which there was an overall increase in relative risk of 1.29 (95% confidence interval, 1.15–1.44; P < 0.001) for every doubling of oestradiol concentration.

IL-8 levels in NL before treatment correlated with IL-8 levels during AB therapy in a highly significant manner (r = 0.719, P = 0.001).

p < 0.05 was considered significant (*), p < 0.01 was considered highly significant (**), and p < 0.001 was considered highly significant (***).

Joint variance analysis using mixed-model ANOVA revealed highly significant effects ( p < 0.001) for both genotype (F = 73) and ratoon year (F = 2) factors, accounting for 37.43% and 0.68% of total variance, respectively.

All statistical analyses were performed using GraphPad Prism 5.01 (GraphPad Software Inc., La Jolla, CA, USA), with p < 0.05 indicating a statistically significant differences ( p < 0.01 indicating a highly significant difference, and p < 0.001 indicating an extremely high significant difference). 5.

The statistical significance between samples was evaluated by performing Student’s t -test, with p -values less than 0.05 regarded as statistically significant, p < 0.01 indicated highly significant difference, p < 0.001 indicated extremely significant difference. 3.

The most highly significant ( p < 0.001) impact from the group × genotype interaction was on IHTP, followed by the group × year × genotype impact.

A second study [ 144 ] followed 20 subjects with IBDs wearing the LNG-IUS; they observed a progressive reduction in the median PBAC score over time, becoming highly significant at 12 months ( p < 0.001).

This 1.6-fold increase in fatal outcome frequency in the elderly was highly significant ( p < 0.001) and corresponded to an excess risk of death attributable to irAEs in older patients.