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This new methodology can be applied to a class of delay systems that can be represented by a set of models that can be factorized into a rational multivariable model in series with left/right diagonal (multiple) delays, such as, the case of irrigation canals.
However, we did include these variables in the multivariable model in order to adjust for their effects.
The multivariable model in Table 2 included factors theoretically available to clinicians at treatment initiation.
Variables were entered in the multivariable model in a stepwise forward fashion.
These data were used as a covariate for an additional multivariable model in the validation set.
An additional multivariable model in which influenza vaccination status was the main exposure was generated using the same approach.
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Age and gender were included in the multivariable model if p <0.20 in univariate analyses.
We included 3 multivariable models in the analyses.
We used three multivariable models in our analyses.
BMI and GWG were included in all multivariable models in order to estimate their independent associations (ORs) with caesarean birth.
BMI, GWG and smoking were included in all multivariable models in order to estimate their independent associations with each outcome.
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