Examples of using Multivariable analysis in English and their translations into Portuguese
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A secondary multivariable analysis was performed in patients with evidence of atherosclerosis at baseline to identify independent predictors of CAD regression.
were considered possible confounders and were included in the multivariable analysis.
In multivariable analysis, age, interval between studies,
It is recommended that these associations be confirmed by a multivariable analysis, controlling confounding factors.
The multivariable analysis was employed in order to identify complication predictor factors in the intraoperative period.
No association was observed between health related behaviors and central obesity after multivariable analysis in men and women from Florianópolis.
preceded the multivariable analysis of the outcomes.
poisson regression with robust variance in the multivariable analysis.
With the aim of obtaining independent predictors of perioperative AMI, multivariable analysis was performed.
0.25 on univariable analyses were selected for the multivariable analysis.
A higher education qualification should contain mathematics including matrix algebra, multivariable analysis and transform theory,
Multivariable analysis was done using the binary logistic regression,
subsequently modeling the best subset of variables in a stepwise multivariable analysis.
The Cox proportional-hazards model was employed in the multivariable analysis and the differences among the event frequencies over time according to the independent variable mortality predictors were compared using the Log-Rank test.
A multivariable analysis identified prolonged CPB time,
those that reached a P level≤ 0.20 were included in a multivariable analysis by Poisson regression
frailty were identified through multivariable analysis with odds ratio of prevalence through the multinomial logistic regression model saturated model, considering a level of significance of 5% p.
The use of multivariable analysis and propensity scores are examples of methods that are increasingly applied in the critical care literature as ways to both identify factors that are independently associated with outcomes
Adjusted multivariable analysis showed that dissatisfaction with dental appearance among individuals affected by severe
reverse remodeling in Group A and continued remodeling in Group B. Multivariable analysis identified some factors related with the occurrence of events Table 3.