Sentence examples for multivariate analyses taking from inspiring English sources

The associations remained stable in multivariate analyses taking into account demographic, anthropometric, metabolic, and lifestyle factors.

Bivariate and multivariate analyses, taking into account the sampling weights, were carried out with the statistical packages SAS V.9.1.3 and Stata V.11.

This lack of an association between start of chemotherapy and OS was confirmed in multivariate analyses taking known prognostic factors into account.

Firstly, although we conducted a "quasi-individual participant data" analysis, we did not have access to individual participant data for all included studies, and therefore were not able to conduct multivariate analyses taking into account potential confounders such as age, gender and social status.

However, the results have been inconclusive because initial positive findings that were usually based on small numbers of subjects have often not been confirmed in larger studies or in multivariate analyses taking other pesticides into consideration (Cantor et al. 2003; Hardell et al. 2002; Morrison et al. 1992).

The results from the bivariate and multivariate analyses taken together confirm our hypotheses 1, 2, 4 and 7 (with the exception of cognitive activation in the sense of individualization and classroom management).

All data will be analysed for confounding and interaction in multivariate regression analyses taking potential clustering effects into account.

All data are analysed for confounding and interaction in multivariate regression analyses taking potential clustering effects into account.

In multivariate logistic regression analyses, taking into account address density of the neighborhood and other relevant variables, living <2 km from a farm with clinical Q fever remained a strong risk factor (Table 2).

The association became more marked in multivariate analyses that took into account Gleason sum, PSA, age and Ki67 (HR=10.73 955% CI=3.64 31.66)).

Multivariate analyses will take into account correlations between the different factors allowing to define a genomic or proteomic "response signature", capable to predict the different outcome measures as compared to the presently available criteria.