Excerpts

The correlation between the mean fixation duration in session 1 and session 2 was highly significant, r = 0.82, p < 0.0001, replicating previous studies ( Guy et al., 2019 ; Henderson & Luke, 2014 ).

The analysis of variance of phenotypic data revealed a highly significant effect of the genotype ( P < 0.0001) on the disease incidence, with no significant differences observed between replications ( P = 0.38).

The AHI showed the most prominent group difference (Wilcoxon-Kruskal-Wallis rank sum test was highly significant with chi 2 = 22, df = 3 p < 0.0001) with severely lower event rates in the LTG (9.45/h) compared to POAG (22.7/h) and controls (21.9/h; p < 0.0001 and 0.02, respectively).

A linear mixed model analysis comparing the pretreatment radial progression rate (137μm/yr, SE 11.41) to the post-treatment progression rate reduction (64 μm/yr, SE 11.89) found the reduction of ARGA progression following panmacular SDM to be highly significant (p<0.0001).

A highly significant level of concordance was observed between qPCR and ddPCR (r = 0.94, P <0.0001; 95% CI, 0.94–0.97), with 189 of 222 samples (85.1%) fully concordant.

As shown in Table 2 , the differences between natural outdoor environments and indoor environments are highly significant, statistically ( P < 0.0001 in all cases), and consistent across the Berkeley and Texas datasets, despite the very different imaging systems used (mobile phone camera vs.

= 0.414 and was found to be significant with a p value = 0.0139, while the haplotype GA which included the risk allele for rs9275572 was also highly significant (p<0.0001 and freq. = 0.245).

Specific leaf area Specific leaf area was 8.9% lower for red oak than bur oak on average, and this difference was highly significant ( F 1, 2191 = 83.85, P ≤ 0.0001, Fig. 2 d).

The model was highly significant ( p < 0.0001), with an F-value of 32.68, and the lack of fit was non-significant ( p = 0.3150), confirming the model’s adequacy.

Highly significant ( P < 0.0001) decrease in fasting PG and 2 h PP-PG, HbA1c, ASL, ALT, fasting total cholesterol, LDL, TG, and increase in HDL were observed after bariatric surgery.

The regression indicated, using the Nagelkerke pseudo-R 2 , that 22% of the variance in HCW abuse was accounted for by these two predictor variables, with externally assessed gender role being highly significant (p < 0.0001) and being exposed or identifying as an MSM to the HCW not significant as a predictor (p = 0.38).

Mixed-effect analysis showed highly significant effect of epoch for mouse F53 [ F (5.339,353.3) = 4.973, p = 0.0001] and mouse F46 [ F (5.346,336.8) = 3.024, p = 0.0093] ( Figure 7B ).

Intergroup comparison showed a higher statistically significant difference using Kruskal–Wallis test when group I: n CaO when compared with group III: n MgO and group II: n ZnO with group III: n MgO were seen to be highly significant ( p < 0.0001*) ( Table 4 ).

Although there was an increasing trend from Process A (3.6 ± 0.5%) to Process B (7.9 ± 1.1%, p < .0001, compared to Process A) to Process C (9.5 ± 3.0%, p = .11 compared to Process A, p = .53 compared to Process B), the trend was not consistently statistically significant.

The selected factorial model was highly significant ( p < 0.0001), as supported by ANOVA.

This compares well with the finding of Bala et al ., in which seroprevalence of syphilis was reported to be 1.2%[ 11 ] while the overall seroprevalence of syphilis in a study from Maharashtra was found to be 0.7% (90/13,008).[ 12 ] In our study, we found that seroprevalence of syphilis by VDRL test among male patients was 5.02 (365/7278) while that in females was 0.74 (368/50,030), and the difference between the two was highly significant.( P < 0.0001) It is comparable to the report by Geusau et al .[ 13 ] Moreover, in a study conducted by Tankhiwale and Naikwade, the seroprevalence of syphilis in males and females was 1.73% (44 of 2537) and 0.4% (46 of 10414), respectively.[ 12 ] The higher seroprevalence of syphilis in males could be because of the fact that only the suspected patients or high-risk patients or patients attending STI clinic are usually tested for syphilis serology.

Highly significant mitonuclear interaction terms were observed in each condition (ANOVA on the random effect model y ij = μ ~ mt i + n j + (mt × n) ij + ε ij , P < 0.0001, Table S 4 ) and could explain 10.8 to 31.5% of the total phenotypic variances (Fig. 1 c, Table S 5 ).

Furthermore, Q was high as 1144.63 and highly significant statistically ( P < 0.0001).

Quantification of the vascular density is presented ( Fig 2B ), where analysis (ANOVA) indicated a highly significant difference between the groups ( p < .0001).

Regression analysis revealed a highly significant positive correlation between the log 2 FC values obtained by the two platforms (R 2 = 0.9697, p < 0.0001), confirming the accuracy of transcriptome sequencing.

These results were determined highly significant by a repeated measures two-way ANOVA [F(18,189) ≡ 4.05, p < 0.0001].

The Datta and Satten Rank-Sum Test found that the distributions of the two groups was highly significant giving a test statistic of 8.05 and a two-sided p-value <0.0001.

The separation in the survival distributions for those with perfusion defects and those without perfusion defects was highly significant (log-rank p = 0.0001).

Using model estimation of the change in diversity indices associated with 3 months of age we found that the increase in diversity was highly significant for all children as well as those in the case and control groups separately for all diversity indices examined (P <0.0001).

Significant (>0.0001 P <0.05) and highly significant ( P <0.0001) deviations are shown with single and double asterisks, respectively.