“highly significant”

Linear regression analysis revealed that the relationship between dose and tail moment was linear, over the 0–5 Gy dose range tested, for each of the cell lines, although the amount of DNA damage per unit dose ( Table 1 ) varied by two-fold between the most radioresistant (HT29) and the most radiosensitive (SW48) cell lines; this difference was highly significant ( P <0.0001).

Following stimulation of C3H/HeSn DCs with adjuvant CpG-oligonucleotides, the production of IL-12 was comparable to that achieved following BCG stimulation and was highly significant compared to control cultures ( P <0.0001) ( Figure 6A ).

In both types of lesions, there was a highly significant correlation between hsp-27 expression and OD as well as between hsp-27 expression and ER- α status ( P <0.0001) and the proportion of ER- α (+) cells ( Table 4 ).

The differences between the medical disciplines were statistically highly significant (Table S 1 ; p < 0.0001 for all comparisons). 3.4.

At 30 days post-injury, B cell-treated animals showed highly significant improvement in Y maze performance (p < 0.0001), with better alternation scores as compared to saline-treated ICH controls and values similar to sham-injured controls ( Fig. 2 E).

Standard mean difference (SMD) was highly significant ( p < 0.0001) for all comparisons (Stable_MCI versus MCI_AD: SMD [95%-CI] Aβ(1-42) = 1.19 [0.96,1.42]; T-tau = −1.03 [−1.24,−0.82]; P-tau = −1.03 [−1.47,−0.59]; HC versus MCI_AD: SMD Aβ(1-42) = 1.73 [1.39,2.07]; T-tau = −1.13 [−1.33,−0.93]; P-tau = −1.10 [−1.23,−0.96]).

Pearson correlation analysis showed a highly significant correlation between Nat-LTP and Wt-LTP (R 2 = 0.9491, p < 0.0001, n = 27; Fig. 2 , large panel).

Linear regression analysis between the percentage of cells with LDH-5 expression obtained with the ab9002 and ab7639 showed a highly significant correlation ( P <0.0001, r =0.92).

In all three studies, the primary endpoint was achieved, with a highly significant reduction in PANSS total score from baseline to endpoint (p < 0.0001).

Differences comparing MT/MT with WT/WT and WT/WT with Het are highly significant ( p < 0.0001).

Statistical analysis confirmed the highly significant superiority of CINPs (∗∗∗∗ p < 0.0001).

Correlation of intermediate and extensive TILs groups -combined- also showed a highly significant positive correlation with survival (p < 0.0001).

The established quadratic model was highly significant, as indicated by ANOVA ( Table 4 ) with a p-value < 0.0001 and an F-value of 52.17.

Although this might be indicative of a small population of cells which are unspecifically stained by the melan-A antibody, a highly significant ( P < .0001) correlation between the number of melan-A positive cells and microscopic pigmentation in the melanin staining was observed ( Figure 1(a) ).

There was a good geographical colocalisation of both intrinsic markers with pimonidazole and a highly significant agreement in individual patients; correlation coefficients were 0.82 ( P =0.0001) for GLUT1 and 0.74 ( P <0.0001) for CAIX.

Level of correlation between IHI and PNGIMR on KD60 and M24 in WHO cone bioassays Correlation between IHI and PNGIMR results was statistically highly significant but with a stronger association between M24 results (r = 0.9, p < 0.0001, n = 20) than between KD60 results (r = 0.6, p = 0.002, n = 20) (Fig. 3 ).

The CLEC treatment provided an accelerated wound closure that was highly significant ( p < 0.0001) over time compared to the other two treatment arms.

This revealed a highly significant difference in the frequency of the three genotypes between the dead and alive mosquitoes (chi-square = 28.8; p < 0.0001) ( Figure 5 ).

As demonstrated in our German cohort, the prognostic performance of the NSCLC-GPA remained highly significant, with a p-value < 0.0001 based on Kaplan-Meier analysis (Fig. 1 ).

The differential cellular distribution of ALCAM between pancreatic cancer and corresponding normal pancreatic tissue was highly significant ( P =0.0001, Table 1 ).

1 , 6 , 7 , S3), and these were highly significant differences between the two species (2-tailed t = 23.7, df = 60, P < 0001).

Models generated for different quality attributes of instant phirni dry mix were highly significant ( p ≤ 0.0001).

The interactions of different solutes with the type of carbon (e.g., AF or BF or CF ) and pH (e.g., BD ) populate the highly significant binary terms ( p -values < 10 –4 ) and contribute considerably to the variability in the process response.

Specifically, the analysis of the data revealed a highly significant difference (p<.0001) in the ratings for each factor, suggesting that some factors may have a greater impact than others on the decision-making process.

On independent t test, all three were highly significant ( P <0.0001).