Excerpts

The first canonical variate accounted for 48.5% of the variance between the horizontal and vertical factors and was highly significant (Wilks’ Lambda 0.506, approximated by F(4,92)=9.34, p<.001).

Interestingly, after step-wise forward selection exclusively ATIII-activity remained highly significant with an odds ratio of 0.863 (95% Confidence interval 0.809–0.920, p-value <0.001; Table 2B ).

There was a highly significant association ( p < .001) between incidence of VLBW and BMI category.

Tolerance Times ( Table 2 ) Highly significant main effects were observed for environmental condition and speed (P<0.001).

Even though it is based on just 20 cases, it is highly significant (p <.001) but with a wide confidence interval (3.0–53.0).

In a multivariable linear regression model, adjusting for age, gender, BMI and left ventricular systolic function, the positive relationship between PASP and ODI remained highly significant ( P = 0.001).

These personality attributes displayed the most dominant effects on SWB, showing large positive coefficient values (2.50 and 2.42 for emotional stability and extraversion respectively) that were highly significant (p-values <0.001).Both variables appeared in all the component models used to compute the model average (relative importance of 1.00 for both).

‘perceived negative impacts of allocation mechanism’ have negative effects on ‘overall health professionals’ satisfaction’) had a positive coefficient of 0.29 for Kenya with a highly significant level of t (300) = 5.83, p <. 001 while path hypothesis 5 (i.e. ‘benefits of national health care resource allocation mechanism’ have positive effects on ‘overall health professionals’ satisfaction’) had a negative coefficient of -0.24 with a significant level of t (300) = -2.81, p <. 01.

0.31, n = 13) for Alouatta , a highly significant difference (p<0.001, t test).

For RT, a highly significant main effect of stimulus type was observed [ F (2,34) = 14.53, p < 0.001, η p 2 = 0.46].

There is a strong and highly significant correlation between genetic and geographic distances when all populations are analyzed (Mantel test R = 0.73, p<0.001; S2 Fig ).

The association between overall mortality and increasing age remained highly significant when adjusted for underlying co-morbidities or immunosuppression (p = 0.001).

Males accounted for 81.4% of the conflict-related deaths (CI 95%: 77.3–85.2%) and the difference between the sexes was highly significant (p < 0.001).

The interaction term between fractions and total dose was highly significant and its interpretation is best understood by graphical representation of the model’s predicted outcome ( Fig 2D , p <0.001).

Our two pairs were marginally significantly different from each other (wald = 9.73, P = 0.08) while lakes and streams were clearly significantly different in MHC allele composition (wald = 15.5, P<0.001).

A strong trend of variation in sedentary and LIPA over the week was seen for both women and men (p<0.001).

In the period AD 1301 to AD 1550, before the transition to a dryer regime, the correlation between ENSO and rainfall variability is highly significant (r = -0.495, p<0.001, n = 240).

Another result to highlight is the highly significant difference between cases and controls regarding the mean number of risk alleles at the 14 selected adenoma susceptibility loci (p<0.001).

The decrease of VBP drug expenditures showed a trend of tertiary hospital ( β = −0.64, p < 0.001) > secondary hospital ( β = −0.57, p < 0.001) > primary healthcare centers ( β = −0.39, p < 0.001).

A two-way ANOVA showed highly significant differences ( p < 0.001) in enzyme activities for the factors, cultivar, years, and the interaction between cultivar and year.

There was a highly significant positive correlation between the density of T2R38-IR cells and BMI values (P = 0.001), but not between T2R38 mRNA levels and BMI ( Fig 2 ).

The results of our ANOVA comparing M 1-2 RFI values among paromomyid species came out highly significant (p <0.001).

We did in fact note a highly significant inverse correlation ( Fig. 6D , Rho = −0.29, P <0.001).

In our case, all species pairs showed highly significant ( P <0.001) genotypic differentiation (see also [34] ).

Highly significant ( p <0.001) forward stepwise multivariate regression models of ecosystem observations demonstrated that D . acuminata abundances were positively dependent on multiple environmental parameters including ammonium ( p = 0.007) while cellular toxin content was positively dependent on ammonium ( p = 0.002) but negatively dependent on nitrate ( p <0.001).