Sentence examples for multivariate analyses when from inspiring English sources

These results did not change in multivariate analyses when controlling for gender, age and smoking status.

In multivariate analyses, when adjusted for psychological distress and demographics, vascular risk factors showed only weak associations with SMC.

Finally, none of the examined markers were associated with either DFS or OS in the context of univariate or multivariate analyses, when excluding the lymph node samples.

Associations between education, marital status, district of town and psychological distress become non-significant in the multivariate analyses when adjusting for all items.

However, our results suggested that the survival rate was significantly related to T factor in multivariate analyses, when the clinical staging is classified according to either our criteria or AJCC criteria.

In multivariate analyses, when controlling for the effects of standard clinicopathologic features and molecular markers, the expression of DAB2IP was an independent predictor of RFS (HR, 2.67, P = 0.034; Table 3) and CSS (HR, 2.79, P = 0.038; Table 4), respectively.

Since 'overall PS' is highly correlated with other individual PS items, it was not included in multivariate Cox analyses when other PS items were used, in order to achieve model stability.

The results of the multivariate variability analyses when viewed in summary across the six tissue-array sets indicate that gender, fasting, strain, and organ section were the most reproducibly prominent biological factors associated with gene expression variance between control animals in this dataset (Table 2).

Since the results in the multivariate analyses were similar when missing values for the covariates were included as a separate category as in the analyses when omitting persons with missing values, the results are shown with missing values excluded.

The results of the multivariate analyses were unchanged when an indicator term for drinking-water source was included, and when certain variables (e.g., history of a preterm birth) were excluded.

Particularly, multivariate analyses are essential when flood-routing processes significantly attenuate flood peaks, such as in dams and flood management in flood-prone areas.