Sentence examples for multivariable linear regressions from inspiring English sources

Multivariable linear regressions were conducted to assess associations between PFASs and neuropsychological test scores.

We resort to two different modeling approaches with the purpose of testing the consistency of our results: (a) multivariable linear regressions based on the replacement method and forward stepwise regression, and (b) the calculation of flexible descriptors with the CORAL program.

Multivariable linear regressions were used to assess the factors independently associated with the proportion of Tregs at baseline and the change in the proportion of Tregs including variables with p-value <0.20 in the univariate analyses.

For the HIV-RNA levels at M12, the change in HIV-DNA and the change in CD4 count between baseline and M12, we systematically assessed, in multivariable linear regressions, the role of baseline values of CD4 counts, HIV-DNA levels, CD4 and CD8 T-cell activation and the baseline proportion of Tregs.

Multivariable linear regressions were used to examine the association between UAER and BP circadian rhythm changes described above.

We used univariable and multivariable linear regressions to examine the associations between PA, fitness, SB, and IS.

The linear model is multivariable linear regression.

Multivariable linear regression analysis (95%CI) was used to test the association between dietary scores and psychological resilience.

Multivariable linear regression analyses were performed adjusting for age, sex, education, and cigarette smoking.

Multivariable linear regression analyses were performed with both cross-sectional and longitudinal data.

Fibrosis stage was independently associated with serum M30 in a multivariable linear regression model (P = 0.03).