Sentence examples for multivariate analyses very from inspiring English sources

The number of such tumors during this time period was very low though, making results from the multivariate analyses very imprecise.

Nonetheless the results of these studies are limited by selection bias in patient recruitment [ 10], the absence of multivariate analyses despite the very probable correlations between variables [ 10], the complexity of the calculations necessary to apply the rule [ 11], and insufficient predictive performance [ 10].

Furthermore, we performed univariate and multivariate analyses, which give results very consistent with missing at random assumption.

Additional proof of treatment-arm homogeneity was evident from the observation that univariate and multivariate analyses on OS produced very similar results.

In the multivariate analyses, HRs after adjustments were very similar to the crude analyses (Table  3).

By univariate and multivariate analyses, the Shc proteins were very strong and independent predictors of treatment failure in both the population-based cohort (interquartile hazard ratio = 8.3, 95% confidence interval [CI] 1.8 to 38, P = 0.007) and the validating cohort (interquartile relative risk = 12.1, 95% CI 1.7 to 86, P = 0.013).

Multivariate analyses showed that the high- and very high-risk groups of the PVN classification significantly increased the HRs of tumour recurrence and death when compared with the other prognostic classification systems (Table 6).

In both descriptive and multivariate analyses the role of ethnic origin was very significant.

In multivariate analyses (Model 4), the 2 unplanned groups presented very similar results.

In this study, multivariate analyses were more appropriate than pairwise comparisonsbetween groups because the parameters were very numerous, with samples of tenindividuals.

The analyses for deprivation and proximity and the results of multivariate analyses for build type and other variables were altered, but only to a very minor degree.