Sentence examples for both multivariable regression models from inspiring English sources

In both multivariable regression models, each unit increase in sUA concentration was associated with an OR of 1.23 (CI 1.09 to 1.39) for subclinical atherosclerosis.

For both univariable and multivariable regression models, we standardized the predictor variables to a mean of zero and standard deviation of 1 (Z scores).

In the present study, in both of the multivariable regression models, the most significant predictor of the 2-year global outcome/satisfaction was the current knee status (pain and functional limitations).

The selection of confounders in multivariable regression models was both data driven and based on biological plausibility.

Separate multivariable regression models were construed for both all-cause and cardiac-related death.

Multivariable regression models were used.

State population counts in natural logarithms were included in the multivariable regression models as an offset term.

Nevertheless, after adjustment for confounding variables in four multivariable regression models, HFNC might be independently associated with lower postextubation failure.

The effects of cervical stage, gender, skeletal classification, and initial length variables were adjusted in the multivariable regression models.

Multivariable regression models were used to identify factors independently associated with HIV discordant and concordant status.

Multivariable regression models were constructed to study the relationships between variables and ETS and potential confounders.