“highly significant”

Consequently, when the data for all 41 samples were combined, the difference in staining frequency between anti-MCM2 and anti-Ki-67 was highly significant ( p < 0.001; Table 1 ).

Between-group analyses demonstrated a highly significant improvement in MoCA (p=0.001), and a significant improvement in GOAT was observed (p=0.02).

The pseudo R 2 reduced from 0.37 for the pre-matching model to 0.001 after matching, indicating an overall improvement in covariate balance, and the p-value for the likelihood ratio test for overall model prediction also changed from highly significant (p < 0.001) to non-significant (p = 1.000).

All of the epidemiologic variables were highly significant (p <0.001) with mm of attachment loss at the mesial site having the largest coefficient (−9.841).

However, the highly significant results ( p < 0.001) in the abstracts were strongly correlated (r = 0.61, p < 10 −6 ) with the number of p < 0.001 significances in the papers.

The data were highly significant: the β index was equal to 0.35, t = 3.74, and p < 0.001.

All these levels of variation were highly significant ( P < 0.001).

Cholecystoenteric fistulae were present exclusively in the converted group (6, 18.18%), with no occurrences in the laparoscopic group, representing a highly significant association ( P < 0.001).

Socioeconomic determinants of geographic distribution of campylobacteriosis risk The majority of the socioeconomic factors investigated for univariate (simple) associations with campylobacteriosis risk had highly significant (p<0.001) associations with campylobactriosis risk (Table 4 ).

Bartlett’s test was highly significant [χ 2 ( 45 ) = 226.08, p < 0.001], suggesting that variable correlations did not form an identity matrix.

A one-way MANOVA on all the social capital and health-related variables with study group (MCL, comparison) as independent variables proved to be highly significant (F [6, 1060] = 40.28, Wilk’s Lambda = 0.81, p < 0.001).

Results in table 2 and figure 1 showed that the difference in smoking status and BMI between men and women was highly significant (p<0.001).

A highly significant correlation emerged between the percentage use of the ultrasonic scalpel and the duration of the procedures (rho = 0.8254 p<0.001).

The highly significant dose-response association ( p < 0.001) and the high PAR documented in this study confirm the large consequences of musculoskeletal pain among eldercare workers.

The enrichment for bands on 13q and 14q was highly significant (p<0.001 for the family-wise error rate, the most stringent criterion in the Broad Institute implementation of GSEA).

This epitope was almost exclusively located within neurons and an intensity correlation for co-localization confirmed this observation, demonstrating a highly significant percentage of neurons co-labeled with NeuN compared to both Iba1 ( p < 0.001) and GFAP ( p < 0.001) immunostained cells ( Figure 10 D). 4.

Although the association between intensity and liking was highly significant, F (1, 151.45) = 122.67, p < 0.001, the interaction between emotion type and presentation frequency was eliminated.

In the final model, when macrovascular comorbid conditions were included, the association between presence of thyroid disorders and total expenditures remained highly significant (beta = 0.19 which translated to 21.4% change in expenditures, P < .001).

mystacinus/brandtii, which is highly significant at the 0.1% level ( p < 0.001).

The viscosity variations were highly significant over the hemicycles (F 2.7,53.2 = 16.431, p < 0.001, η 2 p = 0.45), but no effects were detected for the interaction between hemicycle and group (F 2.7,53.2 = 0.794, p = 0.489, η 2 p = 0.04).

In the CTRL group, an increase of BLI was observed, while in the group treated with NTP (NTP group) a highly significant stabilization was induced by the treatment (p<0,001 at D30).

2c , we observed a highly significant difference in predicted neuropathology scores between AD cases and controls (two-sided t test: t = 22.98, p < 0.001), and these differences were more pronounced for MD-AD compared with the other baseline models (results split by dataset are shown in Supplementary Figure 4a ).

In the negative HSP group, sleep score showed a highly significant negative correlation with the STAI State score (r = −0.41, p < 0.001).

Bartlett’s test of sphericity also yielded a highly significant result (Approx. = 16,704.881; df = 861; p < 0.001), indicating that the factors were appropriately correlated for factor analysis ( Bartlett, 1950 , 1951 ).

The differences in HRQOL scores of young old and old-old were very highly significant ( P <0.001).