Sentence examples for analysis were verified in a multivariate from inspiring English sources

Parameters found to be of prognostic significance in univariate analysis were verified in a multivariate Cox regression model.

We found a statistically significant difference in the CSF WBC count between subtypes B and C in the univariate analysis where subjects with subtype C had more CSF cells than those with subtype B. This result could not be verified in the multivariate analysis when all other independent variables were taken into account.

We observed an increased risk of death, cancer onset, and heart disease for cancer survivors; although statistical power was insufficient, an increased risk was verified in multivariate analysis for heart disease.

However, its significance as a predictive marker for subsequent therapy could not be verified in multivariate analyses.

This assumption was verified in our series, as patients without evidence of primary taxane sensitivity in a previous line appeared to have statistically lower CBR and TTP under EM in multivariate analysis.

The accuracy of the multivariate rational response surface approximation model developed in this study is verified in some design examples.

Log-rank test and Kaplan-Meier survival curve were used for survival analysis, and the results were verified by multivariate Cox's proportional hazard model.

These results were verified through multivariate analysis (Table 4).

Potential variables were verified by multivariate analysis using binary logistic regression.

Significant variables in the univariate analysis were included in a multivariate model (conditional logistic regression).

Significant variables in the univariate analysis were included in a multivariate model (logistic regression).