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Multivariable models are essential in analyses of pain.
Multivariable models are constructed to correct for potential confounders.
In the following, the results of the multivariable models are presented.
Results of multivariable models are presented as adjusted odds ratios with 95% confidence intervals.
Unadjusted and partially adjusted multivariable models are provided in Additional file 1: Table S3.
The full and reduced multivariable models are summarized in Table 2.
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Thus, the basis of more complex multivariable models is provided.
Final multivariable models were adjusted for age, gender, time of day, weekend, number of occupants.
In an attempt to improve diagnostic accuracy, several multivariable models were examined.
Multilevel multivariable models were used to identify factors associated with satisfaction.
Univariate and multivariable models were computed with the use of logistic regression models.
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