Excerpts

For instance, in Model 1, where we adjusted for age, gender, and race, the β coefficient for HRR1 is −0.52, with a 95% confidence interval (CI) of −0.75 to −0.30 and a highly significant p-value (p-value < 0.0001).

The difference in the incidence of post TIPS HE between the patients with or without sarcopenia was highly significant (p < 0.0001).

The expression of Ki-67 Li and inflammatory cells were highly significant ( P < 0.0001).

The RM-ANOVA test indicated a highly significant P < 0.0001, suggesting significant differences in NRS scores across different time points.

Overall, the discrimination between three groups (H, K and C) was highly significant (Wilks’ Lambda: 0.0354; F (16,216) = 58.247; p < 0.0001).

The model provides a highly significant fit as compared to a null model (null −2LL = 7.7, final −2LL = 21.2, χ 2 = 26.9, p < .0001; Nagelkerke R 2 = .77; AIC = 23.5).

Our model results (see Methods for details) show that the differences between chimpanzees from Ngogo and Issa were highly significant in the δ 13 C values ( χ 2 = 61.45, df = 1, p < 0.0001) and the δ 15 N values ( χ 2 = 80.67, df = 1, p < 0.0001), with Issa chimpanzees being less depleted in 13 C, and much lower in 15 N (Fig. 2c , Table 1 ).

The difference in OS between the LTS and STS patients was highly significant (HR = 0.03, 95% confidence interval (CI) 0.01–0.07; p < 0.0001) (Fig. 1 B).

The data indicate that the regression model is highly significant ( p < 0.0001), with a non-significant lack-of-fit term ( P = 0.9490 > 0.05), demonstrating a good fit and low experimental error.

Likewise, BEAF + and CP/CH + boundaries on chrX show a highly significant difference in insulation between males and females (Wilcoxon test p -value < 10 −4 ) (Fig. 4e and Supplementary Fig. 8e ).

The Kruskal–Wallis test revealed a highly significant difference between the sensor combinations ( p < 0.0001), indicating that sensor placement significantly affects the F1 score.

The model was highly significant ( F = 11.979, df = 2102; p < 0.0001) and is shown in Table 2 .

Additionally, 16 cases and 2 controls had protein S (PS) values of less than 48.4% (M-2SD), exhibiting a highly significant difference ( P < 1 × 10 −4 ).

Notably, LGALS9 and SIRPA showed highly significant differences between the high- and low-risk groups (P<0.0001) ( Figure 6B ).

The difference in the mean distance of short-range connections using this method relative to those obtained using Procedure 1 (i.e., traditional correction) was highly significant ( p < 0.0001).

This regression model was also highly significant and explained 42% of the variance in placebo variability (adjusted R 2 = .426; F 5/91 = 15.22; p < 0.0001).

The second-order polynomial regression model was applied to determine the relationship between the independent variables and the response variable: Y = − 66.25 + 31.74 X 1 + 20.51 X 2 + 29.15 X 3 + 49.40 X 4 − 6.03 X 1 2 − 1.94 X 2 2 − 11.76 X 3 2 − 12.18 X 4 2 The ANOVA results for the model ( Table 6 ) indicated that this model was highly significant ( P < 0.0001).

−2.1 ± 5.5; p < 0.005), the relationship between change in cg05575921 and change was present and highly significant for both those who managed to fully quit smoking ( p < 0.0001; adjusted R 2 = 0.62) as well as those who attempted to quit smoking ( p < 0.0001; adjusted R 2 = 0.70). 4.

3.4 Effects of taurine treatment on retinal macroglial activation The mean RFU of GFAP immunoreactivity was 18,230.56 ± 1,180.26 in untreated RCS rats (n = 11) and 4,729.72 ± 535.17 in taurine-treated RCS rats (n = 8) and this difference was highly significant (p = 0.0001, t -test; Fig. 4 E).

The regression coefficient associated with the number of trials between repetitions was negative and highly significant (p<0.0001; t-test, Equation 8 ).

The KMO test resulted in an appropriate value of 0.84, with MSA for the items varying between 0.64 and 0.92; together with a highly significant Bartlett’s test (p<0.0001), indicating that the sample was adequate for factor analysis.

During the initial 6 months of the study, the cyclosporine A group had consistently lower IOP than the betamethasone group, which was statistically highly significant ( P < 0.0001).

The results of the present study [ Table 2 ] showed a statistically highly significant increase in TSH levels in all cirrhosis patients compared to healthy controls ( P < 0.0001).

Examination of patients’ clinical parameters showed that responders and non-responders presented highly significant differences in both progression-free survival (Fig. 1c , log-rank p < 0.0001) and overall survival (Fig. 1c , log-rank p < 0.0001).

Combining the P -values above in a Fisher's combined probability test yields a highly significant test statistic (χ 2 = 46.35, df = 12, P < 0.0001).