Sentence examples for multivariate analysis explored from inspiring English sources

A second multivariate analysis explored the effects of language group on performance status, with inclusion of the same potential confounding variables.

A multivariate analysis explored potential causes of heterogeneity in the results (study quality, whether audit and feedback was combined with other interventions, intensity of feedback, complexity of the targeted behaviour, and level of baseline compliance).

In the multivariate analysis exploring variables associated with diagnostic categories (colonisation vs. Aspergillosis), which included all variables showing significance (p < 0.1) in the bivariate analysis previously performed, the logistic regression was statistically significant (p < 0.001, R Cox = 0.291).

In a replication, the list and name recall data for Level 1 and Level 2 for the three groups (AT, IT, controls) were examined in a multivariate analysis exploring pretest to posttest-2 change.

> -wrap-foot> *To estimate the odds ratio mortality in the group, >4 h is set as 1 In the univariate and multivariate analysis, we explored parameters on admission predictive for early clinical failure in severe CAP.

This included a secondary multivariate analysis that explored separately the independent effects of overt diabetes and IFG/IGT (see Supplementary Table 2), as specified using the WHO criteria (6), on the three dependent variables, as well as a set of univariate results for each independent variable.

The final regression model for patient impression of the surgeon's explanation included PULSE 360 insight impact and leadership teamwork index and accounted for 48% of the variability (p < 0.001).> Before multivariate analysis, initial bivariate analysis explored PULSE 360 variables with CG-CAHPS ratings (Table  3).

We used univariate and multivariate analysis to explore factors potentially associated with susceptibility to malaria attacks.

Cox proportional-hazard analysis was used for univariate and multivariate analysis to explore the effect of variables on survival.

A Cox proportional-hazard analysis was used for univariate and multivariate analysis to explore the effect of variables on survival.

We then turn to a multivariate analysis that explores the reasons behind turnout decisions of citizens under 18.