Excerpts

The main effect of testosterone was highly significant, F (1, 62) = 8.43, p = 0.005.

When adjusting for lactate ≥4 mmol/L, age, time to antibiotics, and SI, the association of delayed escalation with mortality remained highly significant (OR 4.2, 95% CI 1.87, 9.241; p < 0.005).

Immunostaining of perforin and granzyme B, both cytotoxic effectors, showed only few positive cells without differences between BD and PsA (Table 1 ), but the SF levels of perforin showed a highly significant four- to fivefold increase in BD (1,168 pg/mL, range 428 to 2,010 pg/mL) versus PsA (278 pg/mL, range 132 to 642 pg/mL) ( P = 0.005) (Table 2 ).

Results Comparison of Two Insecticides Insecticide treatment was highly significant ( F 2,6 = 15.0, P < 0.005).

However, when compared to DMSO, the inhibitions by P2, P6, P7 and P8 were highly significant ( p <0.005).

Results In phase A, there was a significant trend for increasing saliva cotinine and CO exhalation with elevated Nugent scores ( P value <0.005).

There was no significant difference in vision between sexes; however, we found a significant trend of poor vision with age ( P <0.005).

All pairwise comparisons (Conover) in the Omega-3 group showed highly significant differences from baseline (from p = 0.005 in the 2nd week to p = 0.0001 at week 12).

The literacy DTC was marginally significant (− 19.39% p = 0.005).

Statistical significance was interpreted as follows: p > 0.05, not significant (ns); p < 0.05, significant (∗); p < 0.01, highly significant (∗∗); p < 0.005, very highly significant (∗∗∗); and p < 0.001, extremely significant (∗∗∗∗).

As shown in Table 4 , although the strength of linear correlation between SphK1 and GLUT-1 was weak, it was statistically extremely significant for all osteosarcomas ( p = 0.005 for percentage of stained cells and p = 0.001 for IRS score).

Using band densitometry to compare relative expression levels, we found that, on average, signature envelope expression was 2.5-fold higher than non-signature envelope expression; the difference in signal intensity between the two groups was highly significant (p<.005).

Indeed, while miR‐21a‐5p is not significant when correcting for multiple testing, it is nominally significant ( P = 0.005) and still one of the top miRs (#7), so with a larger sample size changes would likely be significant.

We found a highly significant correlation between type 2 diabetes and the development of postoperative complications (r = .46; p = .005).

Figure 4 shows that the expression of AMP deaminase and myogenic 6 is quite significant ( p-value < 0.005) as noted by asterisks in the HB group and insignificant in other groups.

The significant differences were regarded as significant if the p values were less than 0.05 (* p < 0.05) and highly significant if the p values were less than 0.005 (** p < 0.005), 0.0005 (*** p < 0.0005) or 0.0001 (**** p < 0.0001).

When the breathing rate values were compared across all 8 groups for each sound level, including silence, using the Friedman Test there was a highly significant difference ( p = 0.005, Friedman statistic 20.1).

MEI from foods observed during the 10-day balance period (2390 ± 543 kcal/day) was non-significantly different (p = 0.96) from TEE measured by DLW (2373 ± 713 kcal/day); the MEI/TEE DLW ratio was 1.03 ± 0.15 (range 0.87–1.27) and the correlation between MEI from foods and TEE DLW was highly significant (R 2 , 0.88, p = 0.005).

The 1,25(OH)D:25(OH)D ratio showed a highly significant inverse correlation with serum hepcidin concentrations in patients with IBD (Kendall τ 0.19, P = 0.005; Figure 4 a).

The correlations between individual fumonisins were also highly significant (in grain samples they ranged from r = 0.90 *** to r = 0.93 *** p < 0.005 and for cobs they ranged from r = 0.92 *** to 0.97 *** p < 0.005).

This difference was apparent very early during follow up (Fig. 5 , p = 0.005).

In GAM_02, which included a temporal variable “year” in addition to the environmental predictors, humidity, vegetation index and the temporal predictor were statistically significant predictors ( P <.005), while the effect of wind speed was weakly significant in this model ( P >.005).

A highly significant association between an increase in number of lesions in the brain and PFS was observed (HR1.13, 95% CI 1.06-1.21, adjusted P < 0.005).

The linear regression of overall bacterial NMS axis 1 against arcsq-transformed % IC was highly significant (F 1,12 = 11.88, R 2 = 0.50, p -value = 0.005) ( Fig. 3 ).

These covariates were all highly significant (p<0.005), and accounted for 38.9% of variability in log e mean CIMT.