Sentence examples for multivariable analysis using from inspiring English sources
The relationship between TBDs seroprevalence and the risk factors was assessed by multivariable analysis using standard logistic regression models and mixed models using the farm as a random effect.
Multivariable analysis using logistic regression analysis was used to determine independent predictors of mortality.
We performed a multivariable analysis using backward stepwise logistic regression to identify independent predictors of septic cardiomyopathy.
Multivariable analysis using restricted cubic splines was used to identify an inflection point in clinical outcomes as a function of time between nCRT and surgery, dividing the cohort into short- and long-interval treatment groups, which were then compared.
Multivariable analysis using logistic regression was performed adjusting for the following variables: age, gender, prior myocardial infarction, and chronic administration of aspirin, clopidogrel, insulin, oral hypoglycemic agents, beta-blockers and calcium channel blockers.
We repeated the multivariable analysis using dichotomous MARS scores.
The multivariable analysis used for determination of the independent predictors for rate increase was linear regression model.
In addition, the procedure for the multivariable analysis used in this study is a sophisticated statistical method that takes the longitudinal (follow-up) structure of the data into account, and provides an adequate analysis of the data.
Multivariable analysis used linear regression on observations for each PCT, and potential confounders were considered and included if they were thought to affect the comparison between exposed and unexposed PCTs.
In multivariable analysis, use of vasopressors and high PaO2 on admission, longer time to return of spontaneous circulation and altered renal function were associated with high admission lactate concentrations.
In multivariable analysis, use of bleeding avoidance strategies was associated with a lower risk of bleeding.
