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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.
Following each univariate regression, multivariable regression models were constructed.
Multivariable regression models were applied to calculate adjusted ORs.
All multivariable regression models were adjusted for these covariates.
Multivariable regression models showed similar results (Table 2).
Multivariable regression models included variables listed in 1st column.
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