Age category was a highly significant predictor (p < 0.001), with negative regression coefficients indicating that higher age categories were associated with significantly lower odds of providing telehealth services.
Excerpts
Due to missing values of patients without a partner, this variable was adjusted by comparing its regression with the total model, which was highly significant (HR 2.66, 95% CI 2.14–3.31, p = 0.001).
The combined effect of altitude, mountain range, and selected soil chemical properties explained 27.8% of the total microfaunal compositional variation and was highly significant ( F = 3.0, P = 0.001).
Results The SDM for jaguar at Caatinga biome ( Figure 3 ) was highly significant (AUC = 0.882±0.028, omission error = 0.283, p<0.001).
As demonstrated in Table 2 , statistical assessment showed that there were highly significant differences in T2 relaxation time among rats with different histopathological grades of liver iron ( P < 0 . 001 ; Mann–Whitney U).
Effect of Bd infection load on thermal tolerance limits The linear model used to analyse differences in CTmax of tadpoles was highly significant (R 2 = 0.63, F 3,76 = 41.359, p < 0.001).
The two-way ANOVA results reveal the significant main effects of period (F(1, 3551) = 582.15, p < .001) and group (F(2, 3551) = 140.14, p < .001) as well as the highly significant interaction between them (F(2, 3551) = 899.69, p < .001).
The mean mid-upper-arm-circumference (MUAC) was 284 mm (range 152–390) for individuals with a vaccination scar and 266 mm (182–352) for individuals without any scar (unadjusted, p = 0.009), the difference being highly significant in an analysis adjusting for sex, age and HIV status (p<0.001).
The differences in rates were highly significant between the regions (p<0.001).
The effect of glycerol supplementation was highly significant (p < .001).
In addition, examination of prostate cell lines showed a highly significant difference in PIM1 expression between the tERG positive and negative cell lines (p<0.001) ( Fig. 2B ).
Impact was a highly significant predictor, with a beta of 0.57, p <0.001.
Several of the proteins showed a highly significant association with microsatellite instability status including 14-3-3β (χ 2 = 22.441, p<0.001), HSP60 (χ 2 = 27.663, p<0.001) and IDH1 (χ 2 = 47.733, p<0.001).
However, the effect of SOA was highly significant (F (4.8, 86.9) = 48.17, p<.001), as well as the interaction between group and SOA (F (4.8, 86.9) = 15.33, p<.001).
For the total number of request strategies used in a single dialogue, the overall between-group difference was statistically highly significant ( p < 0.001, eta2 = 0.2598, large effect).
In Chattogram, the highly significant negative Tajima’s D (−0.89133, p < 0.001) indicates an excess of low-frequency polymorphisms, consistent with purifying selection or recent population expansion.
A Kruskal-Wallis test evaluating the effect of age group on IC volume showed a highly significant effect of the age-group on the mean IC-volume (p<0.001).
A two-way ANOVA revealed main effects of Counter (F(2, 5013) = 68.32, p < 0.001) and Block (F(5, 5013) =19.47, p < 0.001), as well as a highly significant Counter × Block interaction (F(10, 5013) = 23.66, p < 0.001).
This discriminant function was highly significant (Wilk’s Λ = 0.277, χ 2 4 = 481.79, P < 0.001).
All of these results were highly significant (p < 0.001), indicating that the observed performances were extremely unlikely to have occurred by chance.
Temporal analysis of genome size (2000–2025) revealed an overall positive correlation (ρ = 0.17, p < 0.001, n = 1,067), with complete genomes showing stronger correlation (ρ = 0.223, p < 0.001, n = 45) while contig-level assemblies exhibited a negative trend (ρ = −0.214, p < 0.001, n = 776), likely reflecting assembly fragmentation artifacts.
A highly significant association was found between gender and occupation (p < 0.001); females were predominantly housewives, males were distributed mainly among self-employed individuals, students, farmers, and manual workers.
This compensatory social seeking was highly significant during the first 100 time steps (t(99) = −5.80, p < 0.001, Cohen’s d = −0.27), corresponding to an approximate 11.6% reduction relative to controls ( Fig 4D ) and became even more pronounced during segments such as 301–400 (t(99) = −16.59, p < 0.001, Cohen’s d = −1.72), corresponding to an approximate 22.7% reduction ( Fig 4D ) and the final 701–748 interval (t(47) = −13.56, p < 0.001, Cohen’s d = −3.55), corresponding to an approximate 36.5% reduction ( Fig 4D ) (see S1 Table for details).
Neutrality tests The overall F ST for whole data set was 0.008 (95% CI: 0.003 - 0.016) and was highly significant (P < 0.001).
Differential analysis revealed highly significant differences (p < 0.001) for GZMB , MMP9 , LCN2 , ANXA3 , and PRF1 .