Sentence examples for multivariate analysis models from inspiring English sources

The complex multivariate analysis models that emerge require more sophisticated statistical analysis.

The results are demonstrated for both block and fast single-event task designs, applied to standard univariate and adaptive multivariate analysis models.

When there was missing information on tumor stage (12%), LINE-1 (3.9% missing), MSI (3.2% missing), p53 (1.3% missing), KRAS (2.3% missing) or BRAF (4.7% missing), we assigned a separate ("missing") indicator variable and included those cases in the multivariate analysis models.

Variables with a P value <0.2 in univariate analysis were included in the multivariate analysis models.

Moreover, the variable inclusion of other potential confounders in multivariate analysis models may affect the results.

Only variables with P value < 0.10 at univariate analysis were qualified to multivariate analysis models.

In case a potential mediator is inserted into multivariate analysis (Model II), the effect of the treatment (C′) should disappear.

Its subclasses comprise a univariate analysis model, bivariate analysis model, and multivariate analysis model by cardinality of the quality data representation slot.

Multivariate analyses such as multiple regression, factor analysis, and principal component analysis are defined as subclasses of the multivariate analysis model.

The study employed a multivariate analysis model incorporating factors associated exclusively with the library's operation (endogenous factors) and factors associated with the academic and cultural context in which the library operates (exogenous factors).

Correlations were examined by calculating the Pearson linear correlation coefficient and a multivariate analysis model was used to adjust for age and gender.