The main predictive relationships are shown in Table 2. Plasma glucose concentrations were predicted significantly by Ala (P<0.001), Lys (P=0.006), and His (P=0.029), and the regression with these three variables had r=0.74.
In reality, both processes occur, and climate models encompassing this complexity predicted significantly higher future temperatures than those only including the nine-mile-high clouds.
Higher levels of ASF1A expression predicted significantly shorter patient overall survival in colorectal cancer (P = 0.0012).
Beta coefficients showed that semantic peaks were predicted significantly earlier than perceptual peaks (B = 112.944, t = 1.969, P = 0.049), as expected if there is a reversed processing cascade.
Second, computer simulations of recombination since the axolotl-tiger salamander hybridization event predicted significantly fewer long chromosome segments than we observed.
Entity theorists in Study 2 also predicted significantly less change in the short term and the long term than did incremental theorists.
The new model predicted significantly higher volumetric wear rate (57 mm3/yr) well within the average reported clinical values.
For receivers near the ground, the second model predicted significantly higher values of ground attenuation than the first.
Results: Participants reported, as predicted, significantly less fatigue impact, increased self-efficacy, and improved QOL (ie, 3 of 4 subscales expected to improve).
Multivariate logistic regression analysis showed that being infected with non-albicans Candida predicted significantly reduced clinical and mycologic response regardless of duration of therapy.
The model predicted similar soot profiles for the 0%, 25%and50%0% ethanol flames, however it predicted significantly lower values in the 75%and90%0% ethanol flames.
