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Variables remained in the model if they significantly improved the fit (p < 0.05).
For the construction of the multivariate model, we used forced simultaneous entry all candidate variables remained in the model regardless of statistical significance.
When TAC was not included, only tGSH and nest identity remained in the model (Table 1).
No other variable remained in the model.
Interactions remained in the model if P < 0.10.
Variables remained in the model if p<0.05.
Variables with p<0.05 remained in the model.
Two variables remained in the model, gender and practice size.
All other variables remained in the model only if significant.
Variables that were significant at P < 0.05 were entered and remained in the model.
The variables that remained in the model were independent prognostic variables.
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