This comparison clearly demonstrated that CSC-affected eyes had SFCT which was ~145 μm (34%) bigger compared to normal control’ eyes (weighted mean difference (WMD) = 145.03, 95% confidence interval (CI), 121.33–168.73) and that this difference was highly significant (P<0.00001), with heterogeneity identified.
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borderline significanceP <10 −5
For the third most significant genotyped loci, located on chromosome 8 in the vicinity of the ZNF704 gene, borderline significance was achieved ( P <10 −5 ).
For example, witnessing violence toward siblings on the MACE showed a highly significant association with DES scores (β = 2.02, t = 4.75 p < 10 -5 ), whereas witnessing interparental violence did not (β = 0.60, t = 1.44, p = 0.15) and experiencing physical abuse had only a marginal association (β = 0.85, t = 1.83, p < 0.07).
Table 3 reports the final hierarchical AMOVA confirming that the northern populations (grouped to be compared with the other populations) were strongly differentiated from those of central Italy with high and highly significant fixation index (Φ CT = 0.666, p<0.00001).
All components of variance were highly significant (P<1×10 −5 ).
In particular, the differences are highly significant on branch #1 and branch #2 during the genome reduction period (Student's t-test, P- value<10 −5 ).
All three two-way interactions between the main effects were found to be highly significant (p<0.00001), thus estimates and corresponding significance levels are not given for the main effects.
There was a strong positive association of Cp biomarker positivity and asthma severity category that was highly significant (P<0.00001).
did not reach statistical significanceP -value <0.00001
However, after correction for multiple testing, the association did not reach statistical significance (an interaction term P -value <0.00001 was considered statistically significant after correction for the number of interactions tested [23×23 = 529; 0.05/529 = 9.5 10 −5 ].
While performance was similar among groups under nonaugmented feedback conditions [ F (2, 24) = 0.048; p = 0.95], a highly significant Group effect was obtained in the presence of augmented feedback [ F (2, 24) = 51.84; p ≤0.00001].
However, direct effect was highly significant (ANOVA, F (2,65) = 41.47, P < 0.00001).
Only highly significant meta-analysis results (p-values <0.00001) were used to select a subset of SNPs – AD-associated genes confirmed by numerous studies [17] .
The increase in PNN density (normalised to the cross-sectional area of the neostriatum) between P10 and P14 was highly significant (one-way ANOVA, Tukey-Kramer test; F(5, 48) = 142.14, P<<0.00001; Fig 7A ).
The similarity in prognostic group assignment was highly significant ( p <10 −5 by Chi-square test).
All the variables included in the model were highly significant at a p<0.00001 ( Table 2 ).
The regression model ( Table 4 ) provided a highly significant fit for the Executive Function index; the proportion of variance explained was 0.6 (F = 19.8, p<0.00001).
Both values are very large and highly significant (p<0.00001) compared to chance levels (1/49 or about 2%, dashed line, which corresponds to the average, 49.2 (SD 2.3) cards presented in each riffle, which is slightly less than the total number of cards -52).
The influence of institutional and personal profiles of farm households and experts on their attitudes towards wetland cultivation The chi-square results show that likelihood ratio statistics are highly significant (P < 00001), showing a strong explanatory power of the model.
This is a highly significant increase over previous levels ( t = 14.79, df = 94, P<10 −5 ).
Seventy markers were excluded from the following analysis, as they showed highly significant departure from Hardy Weinberg equilibrium (P<10 −5 ), obtaining 5,192 markers for the following analysis.
The difference in the concordance of these 2 data sets was highly significant (p<0.00001).
Testing for heterogeneity showed a highly significant result (p<0.00001) and high inconsistency (I 2 = 94%).
We tested the five significant or marginally significant SNPs (p < 10 −5 ) using standard linear regression models adjusted for the same covariates as above ( S1 Table ).
These results were highly significant (p = 0.00001).
The identification of moderately significant (10 −2 >p>10 −5 ) SNPs offers a novel method for detecting the “missing heritability” of hypertension.