Sentence examples for multivariate analysis points from inspiring English sources

Age is an important confounding factor in this setting however multivariate analysis points to an interaction between P. falciparum and HCV at the hepatic level with a slower emergence of P. falciparum in HCV chronic carriers.

Due to the small sample size, certain secondary observations may not have reached statistical significance; nevertheless, the fact that statistically significant associations emerged and persisted at the multivariate analysis, points to the validity and robustness of the findings presented herein.

However multivariate analysis pointed to TIN inflammation, but neither TIN fibrosis nor proteinuria, as the best predictor of kidney function at biopsy and 6, 12, 24, and 36 months afterwards.

Although multivariate analysis pointed to TIN inflammation, as the best predictor of kidney function at biopsy and 6, 12, 24, and 36 months later, tissue KIM-1 expression is one of the best predictor of kidney function 6 months after biopsy, the time when treatment effects are the strongest.

Multivariate analysis, however, points out gender, BW, gestational length and maternal smoking as most significant independent variables that influence cord leptin concentrations.

According to the regression coefficients in the multivariate analysis, weights (points) were attributed to each factor in order to build a score.

In multivariate analysis, the points in the MMSE prior to the DTTP (P = 0.02) and the absence of geriatric syndromes (P = 0.009) were associated with better diabetes self-management skills after the DTTP (other factors included in the model: age, AKT score).

The associations with living conditions (large urban centres, immigrant background) which were confirmed in multivariate analysis potentially point to differences in access to healthcare services and culture-specific differences in attitudes towards ADHD.

Experimental results and multivariate data analysis pointed to choline chloride-ethyleneglycol as being the most effective within the tested DESs, showing extraction yields similar to those exhibited by conventional solvents.

To determine independent predictors of the composite end points, multivariate analysis of MDCT-CA variables with P ≤ 0.05 in univariate analysis was performed, which was corrected for baseline characteristics (male sex, age, hypercholesterolemia, hypertension, family history of CAD, smoking).

This multivariate analysis takes the data points, which correspond to all the pairwise impossibility relationships, and transforms them onto a n-dimensional plan, where the dispersal between species is maximised.