“highly significant”

A 2018 study of 104 patients with preeclampsia and 200 healthy controls identified a highly significant ( p < 0.001) association between the GSTM1 null genotype and the development of preeclampsia [ 68 ].

The estimated p-value was highly significant for this relationship (P = 0.001).

Accordingly they showed that a highly significant variation (p < 0.001) in analysis of all the evaluated orange fleshed sweet potato traits.

Group comparisons (excluding “Case study” and “Non-BB schools”) using the Pearson chi-square test of independence showed a highly significant difference in school participation on the basis of recruitment method, χ 2 (1, n = 732) = 127.870, p < .001, but no significant difference on the basis of area socioeconomic status.

The negbin variant of count models was used as the estimated alpha parameters were greater than zero and highly significant (p < 0.001); and, the dependent variables had no zero observations.

Age remains a highly significant predictor for hypertension (OR = 1.83, p < 0.001), while gender exhibits a minor protective effect for females compared to males, although this association does not reach statistical significance (OR = 0.96, p = 0.063).

The association between spiritual leadership and psychological capital is a strong, positive, and highly significant correlation (R-value = 0.63, P = 0.001).

Correlation between HbA1C, FBG, and lipid parameters: the results of our study showed a highly significant correlation between HbA1C, and FBG (r= 0.673, p≤ 0.001) ( Figure 1 ), TC (r=0.189, p ≤ 0.001) ( Figure 2 ), and TG (r=0.243, p ≤ 0.001) ( Figure 3 ).

Procrustes MANOVAs of shape and size against species are both highly significant, with species means accounting for 90% of the variation in size and 79% of the variation in shape ( p = 0.001 for both tests, figure 3 a–c ).

In the second experiment, a Tunisian cell line (Hessiene) cryopreserved in ISF-1 with 5%[v/v] dimethylsulfoxide (DMSO) grewbetter after thawing in RPMI-FBS compared to ISF-1 with a highly significant difference in cell growth ( p < 0.001), whereas the third experiment showed that the Ankara cell line had similar growth characteristics in both RPMI-FBS and ISF-1 before and after thawing, with a shorter generation doubling time in ISF-1 than in RPMI-FBS ( p = 0.23).

Although the former variability is assumed to be known and estimated by the standard error reported for each study, the latter (heterogeneity) was estimated from the model and found to be highly significant [ Q = 308.14 (14 df), p < 0.001].

A comparison of the children’s observed cycling skills at the end of the course before and after the cycle training showed a highly significant improvement in mean performance scores from M before = 1.77 to M after =1.36 (paired t -test, t = −6.992, p < 0.001, n = 147) ( Appendix A , Table A3 ).

95 ± 7.43 mg in Group 2) which was statistically highly significant ( P < 0.001) following pre-medication with dexmedetomidine as compared to control group [ Figure 4 ].

Analysis of variance ( Table 3 ) confirmed that all factors had highly significant effects on titer (p < 0.001).

Increase in the mean duration time in the fentanyl group was statistically highly significant ( P < 0.001).

* p < 0.05, significant; ** p < 0.01, highly significant; *** p < 0.001, very significant. 3.

At one month, a highly significant decrease occurred in VAS and ODI in the lidocaine and ozone groups compared to the botulinum toxin group ( p < 0.001).

We can see from the highly significant estimated coefficient of 0.858 (t = 38.118, p < 0.001) that one of these duplicating items should be deleted.

○ Male (χ 2 = 79.939, df = 4, p < 0.001): the social status distribution is also significantly different among male patients, with a highly significant p -value. - Marital Status ○ Female (χ 2 = 15.643, df = 2, p < 0.001): marital status is significantly associated with gender, indicating differences in marital status distribution among females. ○ Male (χ 2 = 110.899, df = 3, p < 0.001): marital status shows a strong association with gender in mal

Correlation between Smartphone Addiction and Artificial Intelligence Table 3 showed a highly significant correlation between smartphone addiction and artificial intelligence among nursing students ( p -value < 0.001).

With 14.0% of respondents scoring high in the first wave and 28.0% scoring high in the Omicron wave, the difference was highly significant ( p < 0.001). 3.3.

Highly significant differences were observed among clones ( p < 0.001) and locations ( p < 0.001).

observed a highly significant effect of neuroticism as a personality trait on oral-health-related quality of life ( p = 0.001) [ 39 ].

Correlation between SOC and Aggressiveness In both samples, a highly significant correlation exists between the total score on the SOC and the aggressiveness tests, with Pearson’s rho = 0.419 and −0.546 ( p < 0.001).

Results Respondents’ Preferences for Different Landscapes and Farm Plot Size The results showed that the difference in the respondents’ evaluation of the individual landscapes A–D was highly significant ( p < 0.001; Figure 3 ).