C 50.3 ng/ml, 95% CI, 2.1–98.6 ng/ml, P = 0.042, Tukey’s HSD test), and highly significant differences in phase III, during surgery and after surgical resection of the main tumour mass (P = 0.0001, n = 28, mean difference M vs.
Excerpts
Regarding retention scores, a highly significant treatment effect was found (H [3] = 21.24, p<0.0001).
RML-inoculated transgenic mice reached terminal disease after 400 ± 56 dpi (n = 10), whereas WTPrP C mice became terminally sick at 155 ± 1.6 dpi (n = 8), thus also showing a highly significant delay for PrP C GPIThy-1-expressing mice (Log Rank (Mantel-Cox)**** p <0.0001; S6A Fig ).
Based on the data obtained, there is an increasing trend in the expression of the E2F2 gene in the MACI1 subset (in comparison to the MAIC2 group, Fig. 6 , P < 0.0001).
BMI had a highly significant effect on HR ( F = 16.06; df = 1,176; p < 0.0001), with HR increasing with BMI.
In parallel, in all cases there was also a highly significant ( p < 0.0001) increase in viscosity.
Once again, by restricting our analysis to the C/C1 overlap, we find a highly significant difference in overlap between saline and epibatidine treated [32.60 ± 5.32% (SEM); p < 0.0001].
A likelihood ratio test showed a highly significant effect of week (χ 1 = 397.9 p < 0.0001).
Further, there was an increasing trend in both the proportion of women as senior authors (6% in 2018, 9% in 2019, 14% in 2020, 15% in 2021, and 18% in 2022, P < 0.0001) and percentage of total women authors (9% in 2018, 12% in 2019, 19% in 2020, 17% in 2021, and 20% in 2022, P < 0.0001) across the years ( Figure 2 ).
Consequently, even modest differences in classification patterns between the two threshold methods and radiologists resulted in highly significant p -values (all p < 0.0001).
There were highly significant effects of dose and subject for AUC after 5–20 g glucose (dose, p < 0.0001; subjects, p = 0.0001) and 5–20 g WB (dose, p < 0.0001; subjects, p < 0.0001).
Looking at all SBT, which were terminated due to exhaustion, shows that the duration of the SBT has a highly significant impact on EAdi ( p < 0.0001).
The cross correlation between total 25(OH)D and DBP was also highly significant (r 0.84–0.92; all P < 0.0001) but the lag times were less consistent, varying between 0 and 3 h, compared to cross correlation between DBP and total 1,25(OH) 2 D.
When analyzed as a mean of all GLU injections at the same dose, the oxygen increase was highly significant ( F (12,240) = 4.13 and F (12,900) = 5.33 for slow- and rapid time resolutions; p < 0.0001), it appeared with ~40-s latency after injection onset, and peaked 30–40 s after injection offset.
According to this model, we can deduce that the regression model is highly significant ( p < 0.0001).
This is a highly significant difference, as compared to the 49% de novo CNVs in vivo (p < 0.0001, binomial test).
The difference is highly significant (t(11) = 8.5, p = 0.0001).
GDF-15 showed the most robust response, with highly significant main effects for both time and dose and a strong interaction ( p < 0.0001).
The p -values indicated highly significant differences ( p < 0.0001) between the control and mixes 3−7 for anaerobic runs, and between the control and mixes 2−7 for aerobic runs.
In addition, Ang-2 > 3.554 ng/mL and Ang-2/1 > 0.504 were associated with increased mortality, with highly significant differences observed ( P < .0001 for both) ( Figure 3C and E ).
The need for antibiotic therapy after 48 h post-procedure was significantly higher in patients who underwent open laparotomy (71%) and conventional laparoscopy (45.4%) compared to TSILA (25.3%), with a highly significant association in the general analysis ( p < 0.0001).
However, for BOS of the HP, a detached curve of exercised from sedentary mice is visible on the graph and the effect of exercise is quite significant during all the period studied (Fig. 5 f; p < 0.0001; two-way ANOVA).
When these numbers were analyzed, the statistic for the pooled data was not significant (G P = 0.05, 1 df, P = 0.8307), but the heterogeneity statistic was highly significant (G H = 39.2, 9 df, P < 0.0001), as was the total statistic (G T = 39.2, 10 df, P < 0.0001).
Notably, while the unadjusted analysis showed only a borderline association ( P = 0.053), the fully adjusted models revealed a robust and highly significant relationship ( P < 0.0001).
The relationship of vegetation cover to dNDMI is highly significant (p < 0.0001) in both the red-stage and gray-stage sample subset, but the slopes of the relationships are opposite. dNDMI is positively correlated to NDVI 2015 in red-stage models, indicating that lower values of dNDMI (indicating greater mortality from spruce beetle outbreak) are correlated with lower vegetation cover in 2015.