“highly significant”

The difference between the groups was highly significant ( P = 8.20 × 10 −4 ; see also fig. 4 A ).

In the Kaplan-Meier curve of the external dataset, we observed a highly significant association between the high- and low-risk groups and survival time ( p -value = 0.00082), providing strong evidence for the suitability of our model in prognostic prediction. 3.3 Multivariate cox regression analysis and TF-target gene network construction To explore other additional factors affecting CRC, a total of 317 samples, including phenotypic data, were subjected to Cox single-factor regression analysis for age, sex, pathological stage, lymphatic invasion, and risk score.

The two groups showed a highly significant difference in overall survival (log‐rank p = 0.00085 Supplementary Fig. 1), with 5‐year overall survival rates of 98.1% and 87.4%, respectively.

The correlation between fraction of polymorphic loci and percentage of identity to the ERE1 consensus sequence is highly significant (Pearson’s correlation ρ = 0.93, p = 8.5 × 10 −4 ).

This overlap is highly significant (p = 8.5×10 −4 ).

In both cell lines a highly significant increase in the relative luciferase activity (Welch Two Sample t-test, p-value = 0.0008513) could be shown for constructs containing the region of interest 5 ́ to the luciferase gene compared to vectors without the respective region.

In contrast, variation in YFMI was highly significant (One-way ANOVA F (3, 32) = 7.109, p = 8.6 × 10 −4 ).

The paired t -test yields highly significant results (t = 8.944, p = 0.00086).

For miRlastic, the test yielded a highly significant p -value of p = 8 . 736821 × 10 - 4 .

The random effect of subject was highly significant (F(22, 114) = 4.05, P = 8.8 × 10 −4 ) indicating that ISC is quite variable across subjects.

The number of men is also too large compared to women for normal mortality (highly significant difference with p = 0.0008958; chi-squared test, also written as χ2 test = 11.031).

For the mode of failure the chi-square value is 16.1610, which means highly significant ( P =.0009) statistically.

This difference is highly significant (p = 0.0009), suggesting that the appearance of AThTP is linked to the presence of ThTP.

A highly significant correla- tion between patients with low IL-6 levels and a longer survival compared with patients with high IL-6 levels (P = 0.0009) was observed.

The statistical analysis confirmed the improvement as highly significant ( p -value = 0.0009), emphasizing the capability of LSTM models to capture temporal dependencies and complex interactions among features.

This time, the sTIL densities were highly significant (PFS log-rank p = 0.0009) (Table 2 C).

The striking association with PD-1 inhibitors (RR: 24.84; 95% CI: 16.92-36.48), IFN-α2b (RR: 3.10; 95% CI: 1.53-6.30), and CTLA-4 inhibitors (RR: 32.042; 95% CI: 18.052-56.875) were all highly significant (p<0.0009), highlighting a consistent biological signal.

For the Chinese HP the median difference between the correct identifications of the SIT-12 (10.0 (2.0)) and Ch-SIT-12 (11.0 (1.25) was highly significant (p<0.0009).

Given the relative proportion of HV regions along the sequences, this represents a highly significant clustering of sites within HV regions and CVR (p = 0.0009; hypergeometric distribution).

A highly significant (P = 0.0009) positive correlation (r = 0.68) was found between the increases in plasma CgA and in urinary 5-HIAA.

None of these threechildrenshowed any evidence ofprenatal infections. Four (4.88% of the sample) children with autosomal recessive microcephaly were detected. The association of the latter with family history of microcephaly was found to be highly significant (Fisher's exact probability test, p = 0.0009).

Staining intensity for TEAD1 showed a clear overlap in patient survival for groups 1 and 2, and patients with the highest intensity staining (group 3) had a highly significant reduced survival rate ( P =0.0009) ( Figure 3B ).

We also observed highly significant similarities between MZs when only presence and absence were taken into account by the Jaccard method (not considering the number of samples per set, p = 0.0009).

Estimated NK cytotoxicity was 15.5% among women living within 200 m of truck routes compared with 26.2% among women living at greater distances, and this difference was highly significant ( p = 0.0009; data not shown).

None of the recurrent smokers continued smoking during the study period and showed a highly significant difference ( p = 0.0009) when compared with the non-recurrent smokers.