When the measure of RDW ≥ 15.7% [ 19 ] was added to the analysis hypochromic erythrocytes remained significant for TTCW (p = 0.011) together with low hemoglobin (p = 0.006), for survival at baseline low hemoglobin (p = 0.029) and RDW ≥ 15.7% (p = 0.011) were the strongest predictors, while for survival at one year hypochromic erythrocytes continued to be the only and highly significant predictor (p < 0.001).
Excerpts
Diabetic retinopathy (DR) prevalence was 48.2%, increasing across TyG quartiles from 9.5% in Q1 to 85.7% in Q4 ( p < 0.001), with a significant trend in DR severity ( p < 0.001).
Close to two thirds (63%) of the probes showing DE-between females of the two strains had lower expression in WL females, which is a highly significant bias (χ 2 , d.f. = 1, P < 0.001).
Control experiments, where the co-location with triplets in the randomised RSs was studied showed that the 55 amino acid co-location to the entire codon triplets were statistically highly significant (p < 0.001, n = 7).
We do not agree that the voltage‐dependence is to shallow to calculate and the quantification that we have provided clearly showed a highly significant (p<0.001) voltage‐dependent block by bupivacaine, with a 2.5‐fold more pronounced inhibition at +70 mV compared to ‐70 mV, as analyzed in Figure 1D.
To avoid multiplicity, mainly highly significant ( P < 0.001) clinically relevant ( r > 0.30) correlations were considered of interest.
The results showed that in all three performances, the correlation, ρ (rho) value, between the audience participants was greater and significant ( p < 0.05) or highly significant ( p < 0.001) during scene 4 of part 2 “You/We” when also their attention was increased (Table 4 ).
Connection Sparsity for Network Analyses The final functional networks were thresholded at a sparsity of 0.2, in which the discriminative ability for PD classification reached the highest accuracy of 88.7% ( Table 2 ) and was highly significant at p = 0.001.
ANOSIM results (R = 0.3088, P = 0.0001) further demonstrated highly significant differences in fungal community structure among different tissue–time combinations ( P < 0.001).
For traits related to plant architecture and biomass allocation, branch number, root dry weight, root-to-shoot ratio, and root volume, the cultivar term accounted for the largest mean squares, with highly significant effects ( P < 0.001) and non-significant treatment and interaction terms.
The overall F ST value across 11 loci was 0.111 and was highly significant (P<0.001).
The pcna and Caspase-3 showed a highly significant (p ≤ 0.001) decrease and increase respectively.
This difference was highly significant (GLMM F 1,-398 = 15.42, p<0.001), but there was no influence of emotion type (F 1,-397.3 = 3.23, p = 0.07), familiarity (F 1,-397.3 = 1.03, p = 0.31) or area of interest (F 1,-397.3 = 3.68, p = 0.3).
Quality performance indicators could clearly show a highly significant improvement > 150 patients in SI (≤ 150: 0.38 ± 0.1 to > 151 0.44 ± 0.1; p < 0.001) and LSD (≤ 150: 0.51 ± 0.2 to > 151: 0.65 ± 0.23; p < 0.001) eventually resulting in a SL/WL-ratio of 6.1 ± 2.3 (> 151–351) coming from 5.6 ± 2.5 (1–151; p < 0.001, Fig. 3 ).
This test showed a highly significant main effect of method for both image collections ( p < 0.001).
As for DEXA parameters ( Figure 1 , Table II ), highly significant changes ( p < 0.001) were observed for FMI, 19.5 ±4.7 vs. 12.1 ±3.7 kg/m 2 , Est VAT, 235.8 ±70.0 vs. 126.5 ±50.4 cm 2 , LMI 22.1 ±2.4 vs. 18.1 ±2.3 kg/m 2 , ALMI 9.7 ±1.3 vs. 7.7 ±1.1 kg/m 2 , BMC 1.22 ±0.1 vs. 1.12 ±0.1 kg, Z score – for age under 50 (2.32 vs. 0.96) and T score – for age above 50 (0.58 vs. –0.58).
For patient 28 the difference between the means for the 2 sides was highly significant (p<0.001 on Grubb’s test, and outside the outer fence on Tukey’s test), indicating that this patient was an outlier from the other patients in terms of side variation.
ANOVA pointed to the significant influence of the factor of the respondents’ category on the variation of evaluation of the effectiveness of emails (ɳ 2 = 10.5%, p < 0.001), as well as a slightly significant influence on SMM (ɳ 2 = 3.63%, p < 0.001).
The bias of the three coefficients was negligible and the p values remained highly significant: • Constant: Bias −0.033, standard error 0.229, 95% CI –3.90 to −2.96, p = 0.001 • SRM: Bias −0.058, standard error 1.51, 95% CI 1.26–7.30, p = 0.004 • DPR: Bias 0.238, standard error 1.55, 95% CI 2,89–8.96, p = 0.001 The MDPI was tested for discrimination using an ROC analysis ( Figure 2 ), in comparison with the other three existing CSA-AKI predictive models.
The results from the analysis of variance showed a highly significant difference (p < 0.001) among almost all the traits studied.
ANOSIM analysis further validates the presence of highly significant intergroup differences in the composition of the gut microbiota ( R = 0.908, p < 0.001) (Figure 4b ).
SZ) were both highly significant with F = 12,503 ( p < 0.001) and F = 12,096 ( p = 0.001), respectively.
A highly significant association was found between the presence of diarrhea and C. parvum infection ( χ 2 = 55.89, p < 0.001).
Highly significant group effects emerged for FC between the LN and peak coordinates within the MDTB7 (R_MDTB7-LN FC; F (2,152) = 13.27, p < 0.001, η 2 = 0.15), MDTB8 (R_MDTB8-LN FC; F (2,152) = 22.94, p < 0.001, η 2 = 0.23), and MDTB9 (R_MDTB9-LN FC; F (2,152) = 32.80, p < 0.001, η 2 = 0.30).
This association was particularly strong from D7, where multivariate analysis (including all clinical confounders) identified mHLA-DR expression as a highly significant independent predictor of infection (OR: 12.1, p < 0.001), alongside the MELD score before LT.