“highly significant”

However, the results also showed a highly significant difference between patients and controls regarding age (P≤ 0.0001, patients were higher than controls), whereas, in weight and body mass index (BMI) (P=0.0006 and 0.0002, respectively higher in controls compared to patients).

A highly significant difference in Lp (a) levels was observed between normal coronaries vs. single-vessel disease, double-and triple-vessel disease ( P < 0.0001).

A mixed model with pulse shape (Rec, rampUP, rampDOWN, rampLONG) and polarity (anodic or cathodic-first) as fixed factors and mouse as a random factor showed a highly significant effect of pulse shape (n = 12, P < 0.0001) and of polarity (P = 0.0011) on the threshold.

This trend was highly significant (P<0.0001).

Combined ANOVA results revealed that variations among the RILs of both populations were highly significant ( p < 0.0001 or p < 0.05) for all six traits ( Table S2a,b ).

The quadratic model was found to be highly significant ( p < 0.0001) with an F -value of 38.91.

A highly significant correlation of cytoplasmic survivin staining was observed with higher Gleason Scores and advanced pT stages (p < 0.0001 each, Table 1 ).

With regard to the relationship between mismatch repair (MMR) status and cancer stage, this was associated with a highly significant difference in stage distribution between dMMR cases ( n = 148) and all MMR cases ( n = 893) ( χ 2 (4) = 38.25, p < 0.0001).

Results In the one-way ANOVA test, ADC shows highly significant change ( p < 0.0001) with respect to the b -value, both in the transitional zone (TZ) and peripheral zone (PZ) ( Figure 1 ) of the prostate in all the patient data.

The non-parametric one way ANOVA of prediction scores distribution among categories was highly significant for all three metapredictors ( p < 0.0001 for all predictors with VEST3 Kruskal-Wallis statistic K = 156.1, REVEL Kruskal-Wallis statistic K = 113, ClinPred Kruskal-Wallis statistic K = 168).

Spearman’s correlations between the two dietary assessment instruments were moderate and highly significant for fruit ( r = 0.5123, P = 0.0001), fat ( r = 0.4326, P = 0.0010) and sugar ( r = 0.4079, P = 0.0020); while the vegetable measurement was more variable ( r = 0.3983, P = 0.0026).

The regression models were highly significant ( df: 9; F-value: 80.78; p < 0.0001 for TPP and df: 9F-value: 266.05; p < 0.0001 for TAC) and linear ( df: 3; F-value: 5.68; p < 0.02 for TPP and df: 3; F-value: 6.55; p < 0.02 for TAC), quadratic ( df: 3; F-value: 229.76; p < 0.0001 for TPP and df: 3; F-value: 750.99; p < 0.0001 for TAC) and interaction ( df: 3; F-value: 6.91; p < 0.01 for TPP and df: 3; F-value: 40.62; p < 0.0001 for TAC) parameters were significant for the two responses.

The difference in median matching score between successful and unsuccessful treatment lines was highly significant (Mann–Whitney U = 1352, p -value <0.0001; Figure 4 ).

The correlation between CO6-MMP and total collagen was highly significant in CCl4-treated rats (p<0.0001, R 2 = 0.58) ( Figure 5C ), however this was not seen in control rats (p = ns, R 2 = 0.04) ( Figure 5D ).

In contrast, measurements of the relative GCR frequency within SiRTA 9L-44 are more reproducible between experiments and the difference between the RAD51 and rad51Δ strains is highly significant (p<0.0001; Fig 1E ).

Generally, a p -value less than 0.05 indicates that the corresponding factor is significant. Therefore, the quadratic polynomial model established in this experiment is highly significant ( p < 0.0001). 55 The model’s R 2 is 0.9757, and the adjusted R 2 is 0.9514, indicating a good fit with minimal experimental error.

In fact, cosinor periodogram revealed that below 74 years the rhythm was not statistically significant neither for Clock and Per1 ( p > 0.17 and 0.37 respectively) although above 74 years it was highly significant for the three genes ( p < 0.0001).

By this criterion, protection was highly significant (Fisher’s exact test, P < 10 −4 ) at any given threshold less than 10,000 CFUs (Extended Data Fig. 8b ), with the IV BCG group showing 90% protection (95% confidence interval: 60–98%) at a threshold as low as 50 CFUs.

Intragroup reductions from baseline remained highly significant at all time points in both groups (p = 0.0001).

Main Effects of Stress Factors on MigraineID All three stress factors (CHA, RLE, FINANC) showed highly significant ( p < 0.0001) main effects on migraineID with more severe stress increasing the prevalence of migraineID.

There were highly significant ( p < 0.0001) associations between the abnormal expression of E-cadherin and Vimentin, E-cadherin and β-catenin, Vimentin and β-catenin, SMAD4 and E-cadherin, and a significant association between SMAD4 and Vimentin ( p = 0.0003), and SMAD4 and β-catenin ( p = 0.001) as shown in Table 1 .

The observed differences in survival were highly significant both for OS and PFS (Log-rank test; P <0.0001 each).

The logistic regression model was highly significant (p < 0.0001, R square = 0.1).

For all interactions, the global null hypothesis test was highly significant ( P ‐value < .0001).

Similarly, when comparing the mRNA expressions of TGFB2 and TGFB3, TGFB2 showed a highly significant 2.74-fold decrease in mRNA levels ( p < 0.0001) ( Figure S3 ). 3.3.