Sentence examples for multivariate analysis better from inspiring English sources
At multivariate analysis, better tumour differentiation (P=0.008), PNI (P=0.03), and ligand expression (P=0.003) were all independently associated with CX3CR1 expression (Table 2).
On multivariate analysis, better functional outcome was associated with absence of visceral metastases (estimate: 0.72; 95%-confidence interval [CI]: 0.07-1.36; p = 0.030) and a slower (>7 days) development of motor deficits (estimate: 1.93; 95%-CI: 1.18-2.68; p < 0.001).
In the multivariate analysis, better intake of antioxidant vitamins (66%to100%0% of RDA) emerged as an independent variable (OR = 0.079, 95% CI = 0.014 to 0.459), whereas SOFA change was no longer statistically significant (OR = 1.282, 95% CI = 0.81 to 2.01).
Moreover, multivariate analysis revealed better intubation conditions in the etomidate group.
This association remained unchanged after multivariate analysis, showing better performance of vaccinal response among individuals with > 350 cells/mm3 (Table 4).
A very similar pattern was observed between abdominal endurance and NSP ever after multivariate analysis, with better performance associated with greater risk of pain in females only.
Most reports focus on classifying samples as safe or contaminated based upon alterations in the spectra determined by multivariate analysis; however, better estimations of mycotoxin concentrations appear promising.
This declining rate of islet graft loss by era suggests that more recent strategies of immunosuppression, as identified in the multivariate analysis, may better protect islets from alloimmune rejection and recurrent autoimmunity.
(Table 3) Other factors that were significant in univariate but not in multivariate analysis were: better preoperative mobility (p = 0.01), high mental test score (p = 0.005), and fixation with a dynamic hip screw (p = 0.03).
On the multivariate analysis, only a better Global QoL found to be related to a better patient's survival.
The results of model-based clustering showed that the bivariate normal mixture model, which was based on the covariance of nitrate and fluoride, was more robust than multivariate analysis, and provided better discrimination between the anthropogenic and natural groundwater groups.
