Number of children had a highly significant positive relationship with age of patient (r = 0.239, p = 0.000).
Excerpts
All correlations are highly significant (all P <0.000).
The logistic regression model was statistically highly significant (χ 2 (4) = 28.619, p = 0.000 with df = 4).
The AMOVA, partitioned 71.35% of variation among the populations and 28.65 within the populations ( S3 Table ), with a highly significant F ST (P = 0.0000; S3 Table ).
This effect was further shown to be highly significant for each individual marker by reaching Bonferroni corrected significance ( Fig 3 ; univariate F-tests, p < 0.000).
The ANOVA showed a highly significant effect of ‘number of subjects' on classification performance (Voting: F(19, 9980) = 3061.83, p = 0.00; ERP averaging: F(19, 9980) = 1634.06, p = 0.00; Feature concatenating: F(19, 9980) = 809.35, p = 0.00).
The model was found to be highly significant (R = 0.714; Rsq.. = 0.510; F = 10.661; p = 0.000).
In spite of the sample-size differences, an ANOVA comparing the average bursts-in-context LDT 0.75 of experiment 2 to the average burst-in-isolation LDT 0.75 of experiment 1 did reveal highly significant context-interference effects for both /pᴂk/, F(1, 22) = 21.50, MSE = 20.44, p = .00, and /pᴂt/, F(1, 12) = 9.80, MSE = 25.90, p = .01, because in experiment 2 the LDTs were 1.0–5.0 dB larger than those of experiment 1 (see Fig 1 ).
In the present study, we found a highly significant correlation (rho, 0.498; p = 0.000) between total IgE levels in serum and sputum in our overall sample, a finding that is consistent with the results described by Manise et al. in asthmatic patients[ 28 ].
The highly significant PERMDISP results in both analyses with all OTUs (factor “treatment”: F = 10.07, p = 0.000; factor “depth”: F = 8.95, p = 0.000) and only abundant OTUs (factor “treatment”: F = 10.93, p = 0.000; factor “depth”: F = 7.56, p = 0.000) indicated a dispersion effect as well.
According to the paired t-tests, all of the differences between the estimates yielded by the two methods are highly significant (p = 0.000).
Multiple regression analysis- adjusted odds ratios (AORs) If ANC attendance was not initiated, women without complications and women with complications had the odds of at least 9 and 11 respectively for developing SMOs and this was highly significant (p < 0.00).
The analysis of variance (ANOVA) for plant height showed extremely significant differences between varieties (p = 0.0000) [ 31 ].
When scores on the first principal component were included in alternative Model 2b together with the variables from Model 2, the component was a highly significant predictor of symptom improvement for both PTSD (HTQ) (β = 0.30 p = 0.000) and depression (HAM-D) (β = 0.25 p = 0.001).
Finally, Fu`s Fs and Ramos-Onsins R 2 were highly significant with Fs = 5.948 (p = 0.000) and R 2 = 0.103 (p = 0.002) adding support for a demographic expansion for this sub-cluster.
The relationship between socioeconomic status and screening utilization was highly significant (χ2 = 139.2, p < 0.000), with a concentration index of 0.125 confirming substantial pro-rich inequality in service access.
The difference between summer and two other seasons was highly significant (p<0.000) and the difference between spring and autumn was significant (p = 0.029).
The statistic was 17,064 with 15 degrees of freedom, which was highly significant (p = 0.000).
A highly significant correlation exists between the two different assays measuring sAA activity (r = 0.954; p = 0.000).
The correlation between minimum temperature and malaria disease prevalence is highly significant (r = 0.4586 p = 0.0).
Specifically, the calculation results of the meta-analysis revealed a moderately significant relationship between motivation and loyalty (r = 0.420, 95%CI = [0.321–0.505], p<0.000) with 16 observations.
Only 1 discriminant function (DF1) with an eigenvalue of 3.247 and canonical correlation of 0.874 was sufficient in explaining 100% variance between round and flat shapes, and Wilks’ lambda indicated a highly significant function (p < .000) ( S7B and S7C Table ).
The analysis revealed a highly significant main effect of the treatment group F ( 2 , 4 6 ) = 5 3 . 1 , p < 0 . 0 0 1 , with a large effect size (partial η p 2 = 0 . 7 0 ).
The path coefficient for this relationship is 0.316, and it is highly significant (p-value = 0.000).
A highly significant regression (p~0.00) was obtained between actual and predicted data, with the R 2 -statistic indicating that the REDEM (MRB) explains 81% of net erosion variability.