Sentence examples for multivariate association analysis from inspiring English sources

Multivariate association analysis.

Variables not normally distributed were logarithmically transformed in order to be used in univariate and multivariate association analysis.

Similarly, we applied a multivariate association analysis that directly models nine measurements on an individual [ 29], to capture genetic variants affecting the longitudinal egg weights consistently over time.

To further analyze genetic variants affecting the dynamic eggshell quality traits along with aging process, a multivariate association analysis [ 67] that directly utilized phenotypes from multiple time points on an individual was applied.

In multivariate association analysis (Table 2), in the first and second models, WC (P<0.05, for both), rather than BMI (P>0.05, for both) was independently associated with cfPWV.

We also performed multivariate association analysis for these two loci, in PLINK Multivariate v1.06 (https://genepi.qimr.edu.au/staff/manuelF/multivariate/main.html; Ferreira & Purcell 2009), again separately in each dataset and using each of the reading/language traits that were used in constructing PC1.

Univariate and multivariate associations between BMI and long-term outcome are presented in table 3. Clinical characteristics that had a significant association on multivariate analysis were age, gender, diabetes mellitus, multivessel disease and LVEF.

In case of a univariate association, a multivariate regression analysis was performed to evaluate if there was an independent association.

Multivariate analysis found association between quality of life for four years with the tomographic Marshall score, the depth of coma by GCS, age, hospital stay and functional status by Glasgow Outcome Scale.

In a multivariate regression analysis, the association remains strong and significant also when controlling state-level confounders.

This was an independent association on multivariate regression analysis and therefore not simply driven by Medicare patients being statistically older than privately insured patients.