Significados de use multivariate em inglês

We use multivariate logistic regression analyses to examine the independent association between sociodemographic and clinical characteristics and self-reported use of antiplatelet agents.

Objective: The objective was to use multivariate twin analyses to test the hypothesis that associations between appetite and weight are underpinned by shared genetic effects.

Independent risk factors for early mortality were calculated using multivariate logistic regression.

Factors associated with frailty criteria were investigated by using multivariate regression models.

Predictors were identified from 23 baseline measures by using multivariate logistic regression.

Potential determinants of compliance to the recommendation were examined using multivariate analyses.

Potential predictors of responses were identified using multivariate binary logistic regression models.

Using multivariate regression, the relationship between MPRs and psychiatric admission was examined.

Statistical analyses using multivariate repeated-measures analyses were performed with generalized estimating equations.

Clinical and electrocardiographic indicators of PICM were identified using multivariate logistic regression.

We used multivariate analysis to identify those characteristics that significantly affected treatment outcome.

We used multivariate analysis with competitive risk model to study associations.

Risk factors that predicted adverse events were estimated by using multivariate logistic regression.

We used multivariate logistic regression for survey data to conduct the data analyses.

Statistical analysis of the SV data used multivariate analysis of variance.

Using multivariate logistic regression analysis, the lactate area was a significant prognostic factor.