However, if the distribution times (20 min) were excluded, there was a highly significant correlation ( P <0.0001) between plasma levels and tumour response.
Excerpts
The proportions of patients who responded favorably, by either parameter, i.e., absolute weight and BMI, were 86% and 34.6% for V7 and placebo respectively, which was highly significant by Fisher's 2 × 2 contingency table ( P < 0.0001).
Additionally, the model reached a highly significant correlation ( p < 0.0001), and the lack of fit of this model is insignificant ( p > 0.05).
20 A highly significant association (OR: 61.65, P <0.0001) was also revealed between the use of zidovudine and the occurrence of anemia, as previously reported. 17 However, in this study, young age and female gender were not significantly associated with anemia.
The analysis revealed highly significant main effects of PCA concentration (F4,40 = 550.59, P < 0.0001) and fungal species (F3,40 = 30.32, P < 0.0001).
Fig 10B and 10C show highly significant (P<0.0001) decrease in neuronal counting in the crush group as compared to the sham group in both laminas.
These differences were highly significant by applying generalized linear model ( p < .0001).
On both primary outcome days (Day 4 and Day 7), these rate differences were highly significant ( p < 0.0001), indicating clinically meaningful effects.
As shown in Figure 1 C, inhibition of each of the RNA sensors resulted in highly significant increased growth of H37Rv-mCherry as detected by IFC/ImageStream relative to its control cell line at 24 h (RIG-I: p < 0.0001; MDA5: p < 0.0001; MAVS: p = 0.002) or 48 h (RIG-I: p < 0.0001; MDA5: p < 0.0001; MAVS: p = 0.0008) post-infection.
Highly significant difference (χ 2 = 19.55, df = 1, p < 0.0001) was observed in the seroprevalence of gSG6-P1 IgG in Simiw [81.3% (282/347)] than Obom [65.5% (190/292)] (Table 2 ).
As noted above, PSWQ showed a small but statistically significant ( p = 0.0017) negative effect of Obs, and highly significant (all p < 0.0001) small-to-medium effects of the other facets.
As shown in Table 3 , highly significant improvements were found in the SAQ score, angina stability, angina frequency, treatment satisfaction, and disease perception ( p < 0.0001 for all) in the GXST group, while there were no significant differences in physical limitations between the two groups (60.1 ± 10.5 vs. 58.0 ± 11.7, p = 0.11).
However, there were a significant increase in DBP and an extremely significant decrease ( p < 0.0001) in the pulse rate after the intervention. 3.3.
np is the number of parameters in the model; lnL is the log likelihood score; AIC (Akaike Information criterion = −2*lnL+2*np) is a measure of the goodness of fit of an estimated statistical model; ω is the nonsynonymous/synonymous substitution ratio; LR is the likelihood ratio: df is the degree of freedom in LRT (Likelihood Ratio Test); *** Highly significant (p-value<0.0001).
There were highly significant differences between tissues in the amounts of IgA and IgM produced irrespective of treatment ( p < 0.0001, p = 0.0020, respectively).
Paired T-test analysis revealed extremely significant differences between the two groups in both diagnostic time and diagnostic costs ( P < 0.0001).
One-way ANOVA across environments indicated that genotypes (representing established DH populations and their parents), growing environments, and genotype–environment (G × E) interaction had a highly significant effect on SL ( P < 0.0001) ( Table 2 ).
There was no significant change in the expression of pMx-MGT Ang II cells (676.3 ± 421.3 pixels/cell; Figure 4 C,F) and pMx-MGT ET-1 cells (675.5 ± 409.1 pixels/cell; Figure 4 D,F), but a highly significant upregulation of MCP-1 was measured in the Isl1 + Sca1 + ckit + pCPCs stimulated with Ang II (1541.0 ± 880.9 pixels/cell, p = 0.0001; Figure 4 E,F). 3.4.
For age, both the GPT-3.5 and GPT-4mini cohorts demonstrated highly significant departures from the census distribution (GPT-3.5: χ 2(17) = 1310.4, p < 0.0001; GPT-4mini: χ 2(17) = 1866.1, p < 0.0001), indicating that the age profiles of the simulated patients were not representative of the general population.
As shown in Figure 1c , log-transformed relative light units (RLU) values showed a 78.5% reduction in bacterial burden after 4 h relative to OLED-only treatment ( P = .0082) and a highly significant reduction compared to untreated infected samples ( P < .0001).
However, there was a highly significant ( p < 0.0001; d = 2.41) performance difference in favor of the VP group which doubled its test scores with 60.8 points (SD = 9.6) and showed a stronger effect size (d VP = 3.3 vs. d SGT = 1.42) than the SGT group which achieved 40.3 points (SD = 7.2).
This is quantified in the Table 1 where cannabis use in 2015 is shown to be significant ( P = .0063), and for cannabis use in 2018 both cannabis use itself, and cannabis use in interaction with time are shown to be highly significant (both P < .0001).
For FiO 2 , the increase at onset was highly significant (estimate = +0.33, 95% CI: 0.20–0.46, p < 0.0001), and the decrease post-intervention did not remain statistically significant (estimate = −0.19, 95% CI: −0.45–0.07, p = 0.10).
Indeed, miR-101-3p showed a significant trend with all parameters analyzed, negatively correlating with intrahepatic triglycerides ( p < 0.0001; Figure 3 A), hydroxyproline concentration ( p < 0.0001; Figure 3 B), and Red Sirius positive areas ( p < 0.0001; Figure 3 C).
The analysis of variance (ANOVA) for the LAC model shown in Table 3 indicates a highly significant regression model (F = 543.88, p < 0.0001), accounting for a considerable percentage of the variance in the data.