Sentence examples for use a multivariable regression from inspiring English sources
To study the prognostic value of the degree of temporal summation regarding changes in DAS28-CRP simultaneously accounting for the level of inflammation (ie, summed USD score) we will use a multivariable regression model with both measures applied as main effects as well as their interaction (ie, 'crude model').
Then expressions to calculate the combustion parameters have been obtained by using a multivariable regression fitting method.
The simulated results are then further processed by using a multivariable regression analysis on a group of dimensionless parameters as well as visualization with the scaling law on arcade structures to facilitate a design for arcade buildings that would enhance city breathability.
Relationship between ARF etiology and hospital mortality was assessed using a multivariable regression model adjusting for confounders.
The effect of coronary revascularization on the outcome of patients with and without AHF was assessed using a multivariable regression model.
This association remained non-significant after adjusting for predefined factors using a multivariable regression model (adjusted OR, 1.0; 95% CI, 0.8 1.3; P = 0.97; Table 4).
Indirect standardization develops risk adjustment using a multivariable regression approach.
Using a multivariable regression model including cardiovascular risk factors and medications, hsa-miR-769-3p was found to be significantly correlated with the presence of significant coronary atherosclerosis.
The impact of patient characteristics, including gender, age categories, number of concomitant drugs taken, diabetes treatment, and hyperlipidemia treatment, was adjusted using a multivariable regression method.
Additionally, for each metabolite, we used a multivariable regression model that included genotype or haplotype, ln U-As), and adjustments for other variabln U-As
Initially, the potential independent predictors of HAART costs were evaluated using a multivariable regression model, including all covariates that were significantly associated with costs in the univariable analyses.
