There was a highly significant increase (p < 0.0001) in both total and neutrophil leukocyte number associated with each stage of COPD, in accordance with the GOLD classification.
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The occurrence of each of these features is highly significant (P<0.0001, Fisher’s exact test, two tailed) for none of these features was observed in the 351 non duplication mice generated in the cross.
Performing a densitometry analysis of each lane using ImageJ [ 30 ], a Student’s t -test revealed a highly significant signal intensity reduction ( p ≤ 0.0001) in knockout cells (see Figure 2 D).
An analysis of variance of the factor score variances was statistically highly significant ( P < 0.0001) indicating that a large amount of the periodic variability could be explained by the variances in the physiochemical attribute factor scores.
Differences in VSRQ scores across clinical severity groups were highly significant (p < 0.0001).
The three factors had a highly significant (p < 0.0001) effect on runoff and sediment loss.
All these effects were highly significant (p < 0.0001).
Statistical analyses Microsatellite diversity, Hardy-Weinberg and genotypic linkage equilibrium GenePop 3.4 [ 14 ] was initially employed to screen for deviations from Hardy-Weinberg (H-W) equilibrium and two loci (BFRO4 and ONE2) were excluded due to highly significant heterozygote deficiency (P < 0.0001) in several populations, likely indicating the presence of null alleles.
The AFAS showed a highly significant decrease in explicit bias after the OASP (p<0.0001).
All group comparisons were highly significant ( p <0.0001).
Statistical analysis using Student’s t-test showed highly significant differences in potency (EC 50 ) between taurine, GABA and HT with p -values: GABA vs. taurine p = 0.0001, GABA vs.
In addition, a highly significant association ( p <0.0001) was observed between weight gain and the number of cigarette-free days.
The difference between the two PD severity cohorts was highly significant ( p < 0.0001), indicating that APS is a more sensitive method than RRS or BWS ( p = 0.1896 and 0.0020, respectively; Fig. 1l ).
Three marker haplotype analyses revealed highly significant differences between CD patients and control subjects ( χ 2 = 29.9, df = 7, P = .0001) and UC cases and controls ( χ 2 = 46.3, df = 7, P < .0001).
The degree of shift to higher persistence of the multistate clusters compared to single-state appears roughly similar for all four pathogens and is highly significant (all P -values < 10 −4 , Mann–Whitney U test).
This was supported by highly significant group × trial interactions (path lengths: F 160,3360 = 1.69, p < 0.0001; search preference: F 40,840 = 2.28, p < 0.0001).
For human genes, highly significant differences were found between G1 and G2 (F = 1.29; p <0.0001), G1 and G3 (F = 1.33; p <0.0001), or G1 and G4 exons (F = 1.33; p <0.0001), while none was found between G2 and G3 (F = 1.04; p = 0.4254), G2 and G4 (F = 1.03; p = 0.4285), or G3 and G4 exons (F = 1.00; p = 0.9243).
Highly significant improvements (p < 0.0001) were noted on all efficacy measures over the study period.
2 All R 3 m values associated with API that were observed to disperse in PVPVA were assigned a probability of 1 and all API that did not disperse were assigned probability of 0, and the model remained highly significant having p < 0.0001, a pseudo R 2 = 0.91, and χ 2 = 1.52 × 10 4 .
From Fisher's method, we can combine these results to one chi-squared test which is very highly significant (Fisher's method, χ 2 = 80.4, df = 10, P < 0.0001).
However, only one locus pair (STR One8 and SNP One_U1012_68 ) showed strong evidence of being physically linked, with highly significant tests ( p < 0.0001) for departure from linkage equilibrium in each sample year.
Differences were statistically significant when p < 0.05 (*) (#), and highly significant when p < 0.0001 (**) (##), versus each respective mock control or untreated control group. 3.
Furthermore, comparisons between pre-traction and postoperative angles demonstrated highly significant reductions in both the primary (T = 53.43, p < 0.0001) and secondary curves (T = 14.62, p < 0.0001).
These findings underscore the substantial impact of the test treatment in promoting hair growth rate, with a highly significant p-value of <0.0001 (Figure 2 ).
Our measurements showed that MCF-10A had a small, yet highly significant, preference to grow on 2D conditions compared to control 3D ECMs (1.1 fold, with P < 0.0001) or tumor-associated 3D ECMs (1.3 fold, P < 0.0001).