A paired t test revealed a statistically highly significant (p<0.0001) difference between lesion and reference values (t = 6.638, sample size 32).
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There was an overall weak, albeit highly significant, correlation between the sCD26 concentration and the DPPIV activity ( r s = 0.35, P = 0.0001, n = 150).
Repeated measures analysis indicated a highly significant effect of both main effects (treatment and time) as well as the treatment by time interaction (p < 0.0001).
pseudoplatanus was highly significant ( p < 0.0001).
Fig 1A shows that this pattern of massive difference occurred in the raw data at all three Ages, and the 95% confidence intervals make clear that the differences were highly significant (at all three Ages, p < .0001) with extremely large effect sizes (Cohen’s d = 2.7, 3.0 and 2.7 at the three Ages respectively).
A highly significant inbreeding coefficient (F = 0.323 ±0.002; p-value<0.0001) was therefore estimated for this group of clones.
After logarithmic transformation of light intensity and cfu counts ≥7.5×10 4 cfu/ml, the Pearson two-tailed test indicated a highly significant correlation (P<0.0001).
Validity and reliability of the scales The exploratory factor analysis of the FCV-S19 scale in our sample showed a KMO measure of 0.846 indicating adequate sampling adequacy, a highly significant Bartlett’s test of sphericity (χ2 = 5231.023, df = 21, p-value <0.0001).
As presented in Table 2 and shown in Fig 2a , our results show a highly significant difference ( p < 0.0001) between fixation counts on items that were answered incorrectly (29.07±21.71) and and those that were solved correctly (17.16±13.89).
There was a strong and highly significant correlation between virus titers measured by TC-LDA and qRT-PCR (R 2 = 0.89, P <0.0001; Figure 5 ) and the slope of the line indicates that there is approximately a 1∶1 relationship between the number of infectious virus particles and virus genome equivalents identified in these serum samples.
During the breathing exercises, there was a highly significant initial difference in heart rate response between hyperventilation and diaphragmatic breathing (p<0.0001).
The CaM scores showed a highly significant negative correlation with FVC (Pearson r -0.556; p <0.0001) ( Fig 2B ) and the DLco (Pearson r -670; p <0.0001) ( Fig 2C ).
Limited growth was noted for average piriform sinus length (AveragePSLength; p = 0.0768), but growth in Velum Length was highly significant ( p < .0001).
No-Reward) revealing a highly significant main effect of condition (F 1,73 = 34.09, p<.0001, η 2 p = .32; Figure 4A , left).
Factor analysis of 251,877 interception data points produced a Kaiser–Meyer–Olkin (KMO) value of 0.726 (>0.5) and a highly significant result in Bartlett’s sphericity test ( P <0.0001).
Temperature effects on mycelial growth of different Fusarium species According to ANOVA, the average effects of different temperatures on fungal radial growth of Fusarium species were highly significant at P < 0 . 0001 .
The linear relationship between THg wet weight and dry weight (WW = 0.19*DW) was highly significant (r 2 = 0.99, p <0.0001); no intercept was included in the final linear model since it was not significantly different from 0 ( t = 0.002, p = 0.998).
The χ 2 comparison revealed a statistically extremely significant difference in the frequencies of APDIs between the TB group and NTB group (χ 2 = 46.680, df = 1, P<0.0001) ( Table 3 ).
Multiple linear regression analysis showed, in both genders, a highly significant relationship between z-scores differences (ECSC vs GLI-2017) and age (as in the “control” group) (p < 0.0001, in both genders), the decrease in D LCO severity (p < 0.0001, in both genders) and the interaction between age and severity (p < 0.0001 in both genders).
Comparison of survival curves of the two cohorts of mice revealed a highly significant prolonged survival for TRAMP mice (p<0.0001).
Results Axial length Repeated measures ANOVA revealed a highly significant interaction between the type of defocus and time of measurement for axial length measures across the six defocus conditions (F (20,300) = 4.60, p < 0.0001).
Nevertheless, the correlation for the change in diet soda vs the change in regular soda was highly significant, r = -0.67, P = 0001.
The month/year effect was strong, as can be seen in Fig 5 , and was highly significant (p < .0001) in all cases.
In a univariate logistic regression, we observed a highly significant positive association between the composite index score and the likelihood of aflatoxin detection (OR 1.6, p < 0.0001).
The difference between the treatments was marginally significant at Day 4 and 7 (P = 0.0532 and 0.0560, respectively), and highly significant by Day 14 (P < 0.0001; Fig 5D ).