For the non-small cell lesions that comprised a majority of the cancer patients, there was a highly significant (P<0.001) increase in the value of the LEBS marker.
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After controlling for monthly variation in rainfall, temperature, and relative humidity, the long-term trend interaction term (treated_group#c.monthly_date) remained highly significant (beta = −0.0056, 95% CI: −0.0076, −0.0037,p < 0.001) ( Table 4 ).
Results The results of the Pr values showed that the main effect of material valence was highly significant [ F (2, 116) = 101.659, p < 0.001, ηp 2 = 0.637].
The one-sample t-test indicated a highly significant difference t (54) = 5.01, p < .001, with a mean difference of.14 grams (95% CI :.08 to.19).
Results Functional Evaluation of Low-level Visual Age-related Changes ISF perimetry (Intermediate spatial frequency channel) We measured achromatic CS at an intermediate spatial frequency for nine visual field locations (see Figure 1A for data across quadrants and Figure 2 for representative examples of age-related CS decline obtained with ISF perimetry for each age group) and found a highly significant effect of aging on mean CS [F (4,164) = 53.09, p<0.001].
In contrast, species differences in the proportion of aphids that fell from the host plant as a result of chill coma were highly significant (χ 2 2 = 20.80 p<0.001), with significantly more M. dirhodum falling from the plant as a result of chill coma, and significantly less R. padi than expected (relative proportions for M. dirhodum , R. padi and S. avenae are 0.45, 0.02 and 0.21 respectively).
Our results also demonstrated significant relationships for the control variables of cattle and crop density (p<0.01) and highly significant relationships (p<0.001) for lagged deforestation, time period fixed effects, and the spatial autocorrelation coefficient (Rho).
Tumor focality was a strong predictor of survival, as patients with unifocal tumors had a median survival of 17 months (95% CI: 15.111–18.889), while those with multifocal tumors had a median survival of only 6 months (95% CI: 2.801–9.199), with a highly significant p-value of <0.001.
The difference was highly significant between the age groups >5yrs and 1yrs (p<0.001) and age groups >5yrs and 1–5yrs (p<0.001).
These differences among years were highly significant ( X 2 (9) = 58.62, p<0.001), confirming the value of the sensitivity analysis excluding year 2010.
Settings for both observers revealed a highly significant main effect of the adapt condition on the image appearance (S1 F(2,45)=29.5, p<.001; S2 F(2,45)=58.3, p<.001).
It contains 3.564 folds more risk of developing cervical cancer with a highly significant P value (adjusted OR = 3.564, 95% CI = 1.647–7.713, P = 0.001).
Both, TTF1 and p63 revealed highly significant results for classification of LAC and SCC, respectively (p<0.001; table S1 ).
In contrast, there was a highly significant influence of walking speed and position on all parameters (all p values < 0.001).
ETR predictions based on the MPB LUE index showed a highly significant linear relationship with measured PAM-fluorometry ETR (R 2 = 0.92, p<0.001; Fig 7 ) with a slope of 0.93 not significantly different from 1 (p>0.05).
Associations with older age, having MetS, HTN, and DLP were noticeably significant ( P >0.001) among participants diagnosed with T2DM.
To verify that the differences between the four FSE criticality indices were substantively meaningful and not artefacts of small numerical variation, a Friedman test was conducted, yielding a highly significant result (χ2 (3) = 72.255, p < 0.001), confirming that respondents rated the four critical role constructs significantly differently overall as shown in Table 6 .
The association between PLR, NLR, MLR, SII and all-cause mortality and cardiovascular mortality The Kaplan–Meier curve revealed an increasing trend in long-term all-cause mortality and cardiovascular mortality rates with higher levels of PLR, NLR, MLR, and SII ( P < 0.001, Fig 3 – 4 ).
Intraclass correlations for inter- and intra-rater agreement on the presence or absence of errors and a class of errors were all highly significant ( r = .99; p < .001).
The decrease in viability was highly significant (p<0.001 by unifactorial ANOVA for all cell lines), Post-hoc testing reveals that the difference between solvent control and salinomycin treatment is significant for all concentrations >1 μM for all tested cell lines after 72 hrs; the difference is significant for 1 μM only in MDA-MB-453.
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 test of the first set of predictions using a 2 x 2 repeated measures ANOVA with condition (easy-fight, easy-flee) and hand (fight hand, flee hand) as within-subject factors revealed a highly significant interaction effect, F (1, 29) = 13.10, p = .001, η 2 p = .31, in line with the goal-directed account (see Fig 4 ).
MEG Data Emotionally significant pictures elicited a larger visual evoked activity than did neutral pictures ( Figure 1b , 2b with { neg , neu , pos } = {1; −2; 1} being highly significant, F (1,18) = 25.003; p<.001.
6B and 6A , respectively) there was a highly significant effect of treatment (SSE, DMSO control, medium control) (p<0.001); nematodes exposed to SSE displayed a shorter median lifespan than the respective DMSO and medium only controls.
There was a highly significant difference in median percentage weight loss both amongst different geographical regions ( P <0.001) and countries ( P <0.001).