In contrast, a highly significant difference ( p < 0.0001) was found between groups 1 and 3 as well as between groups 2 and 3 (see Fig. 3 ).
Excerpts
The most parsimonious multivariate model is highly significant ( P = 10 –4 ), suggesting that COVID-19 DS4 ( P = 3 × 10 –8 ), presence of DKA/HHS ( P = 0.021), and development of AKI ( P = 0.037) are all independently correlated with death (Fig. 3 ).
At wave 2, all three scales were positively correlated; however, the correlation between neighborhood social ties and neighborhood safety was low in magnitude (0.031) and did not reach statistical significance (both other correlations were significant at the p < .0001 level).
The generated Moran's I values (Table 2 ) are highly significant ( p value < 0.0001) and indicate a quite strong degree of positive spatial autocorrelation; regions with similar rates of COVID-19 deaths tend to be located next to each other (i.e. they form spatial clusters).
According to the ANOVA results, the quadratic polynomial regression models for all five mechanical property indices were highly significant ( p -value < 0.0001).
Statistical analysis Multivariate analysis of variance (MANOVA) for physicochemical properties showed highly significant differences ( P < 0.0001) between the Dominico Harton, Guineo and Gros Michel varieties (Table 4 ).
The differences between the diabetes groups and the control group were highly significant with P < 0.0001.
All regressions were highly significant ( F -value = 352.31, and p -value < 0.0001 for CLD % and F -value = 276.91, and p -value < 0.0036 for TS), and also the R 2 coefficients were adequate (0.988 for CLD %, and 0.998 for TS), demonstrating the models are suitable for representing the responses.
There was a highly significant relationship between SNP source and true/false-positive SNP outcome (Fisher’s exact test, p < 0.0001); SNPs from non-genic single-copy BESs had a higher chance of being true-positive (58.3%) than those from genic BESs (47.0%).
As shown in Additional file 1 : Figure S1, the correlation of eGDR calculated using this formula with glucose disposal rate (GDR) measured with euglycaemic-hyperinsulinemic clamp in 140 T2D patients was highly significant ( r = 0.624; p < 0.0001); moreover, it was higher than that of Homeostasis Model Assessment – Insulin resistance (HOMA-IR) in the 85 patients with calculable values ( r = 0.441; p < 0.0001) and similar to that reported in the validation study in T1D individuals [ 25 ].
The overall F ST value was small (0.01714, 95% CI 0.00501–0.03949) but highly significant (P<0.0001).
All the Procrustes tests were highly significant ( P = 0.0001 in all cases; see table S3), indicating a strong correspondence between the complete and imputed functional spaces; consequently, we used the PCA based on imputed trait data in the rest of analyses.
The combination of IMAR and DEMAR resulted in a highly significant artefact reduction than IMAR alone (p<0.0001).
This showed that the effect of gene category (i.e., the difference in dN between genes encoding PRR and cytokines on one hand and those encoding signaling proteins and transcription factors on the other) remained highly significant ( F = 42.9, df = 3, 304, P < 0.0001) even when controlling for a negative correlation between sequence divergence and pleiotropy ( F = 5.04, df = 1, 304, P = 0.026), and an interaction between gene category and expression divergence ( F = 3.41, df = 3, 304, P = 0.018; see supplementary table S1 , Supplementary Material online for full model details).
A principal components analysis revealed differentiation between populations spawning at different times and in different geographical regions (electronic supplementary material, figure S2), and the first two principal components were highly significant using the Tracy-Widom statistic ( p < 0.0001).
Correlation analysis There were highly significant negative correlations between anxiety and depression scores and LAC ReHo values in the DON group ( r = -0.9336, P < 0.0001 and r = -0.8453, P < 0.0001, respectively; Figure 5 ).
There was an extremely significant difference between the high- and low-risk groups (log rank p < 0.0001, HR = 2.594).
A repeated-measures ANOVA on the transformed LHIPA revealed a highly significant main effect of task, F ( 1 , 29 ) = 458.076 , p < 0.0001 , with a large effect size ( η 2 = 0.827 ).
MBP showed a highly significant ( P > 0.0001) increase in CSF of PHH and SB/HC infants compared to normal.
Analysis of cancer genome datasets (TCGA and GTEx) revealed greater NLRP3 and IL-1β expression in cutaneous melanoma samples ( n = 469) compared to normal skin ( n = 324), with a highly significant correlation between NLRP3 and IL-1β ( P < 0.0001).
A Wilcoxon test showed highly significant differences between the groups (χ 2 = 64.7, DF = 2, p< 0.0001).
Analysis with Naïve Bayes model ALT By means of statistical analysis, the difference of ALT levels between NF group and F group is quite significant (p < 0.0001) and the average value of F group is 4.6(336/73) times of the average value of NF group (Fig. 2 A).
post-treatment), statistically effective pairing for the samples was observed (Spearman rs=0.8031; p<0.0001) and plasma samples from treated patients showed highly significant reduction of arginase activity (36.46 ± 17.17 vs. 17.72 ± 6.201 mU/ml; p=0.0001) ( Figure 3B ).
All measures of associations are highly significant ( p < 0.0001), between overcrowded housing and four COVID-19 related outcomes.
The analysis revealed a highly significant overall effect (P < 0.0001) and further revealed that at each week (weeks 3–8), the SAd7+Protein group PVL was significantly lower than the Control group.