Sentence examples for multivariate approach tests from inspiring English sources

The multivariate approach tests for general changes; when this is significant, univariate approach tests for CpG site punctual effects.

Where possible we used the multivariate approach to test the within-subjects effects, since this test is robust against violations of heteroscedasticity [ 80]. Figure 4 demonstrates the mean ERDs and ERSs as topoplots broken down for the 10 time segments and for learning with (background+) and without (background-) musical background.

A multivariate approach for testing the robustness of a capillary electrophoresis method using the "short-end injection" technique is presented.

By combining a multivariate approach with the test of specific migration patterns, we were able to detect a complex structure among the populations under study, which seems to be better explained by the effect of local environmental factors rather than the internal linguistic complexity of the NC phylum.

The band patterns generated were transformed into a presence/absence matrix and a multivariate approach was used to test for differences in the locations.

Robustness testing was carried out by a multivariate approach and a control strategy was implemented by defining system suitability tests.

In the methods section we briefly review the bivariate random effects approach, and we introduce the multivariate approach to meta-analyse studies that report test results with more than one threshold.

Should there be a significant influence on the incidence of the composite endpoint, the Mantel-Haenszel test will be supplemented with a respective multivariate approach accounting for covariates.

Then we continued applying a multivariate approach (stepwise discriminant analysis) based on 13 leaf characters to test the first grouping of individuals to species.

In addition, we show how one can test for non-linear factor loadings within the multivariate approach.

The multivariate approach allows each of the individual paths to be estimated, and tested for statistical significance, however, it also allows groups of paths to be tested simultaneously, using the χ2 difference test – the multivariate F test in MANOVA is equivalent to the simultaneous test of all of the paths from the predictor variables to the outcome variables.