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Variable selection was performed with a method of backward elimination, using a criterion of p value less than 0.20 for retention in the model.
The probability cut-off value for retention in the model was set at 0.05.
P value < 0.05 was required for retention in the model.
The level of significance used for retention in the model was 0.05.
The critical level for retention in the model was set at 0.05.
To identify the final predictive factors for retention in the model, we applied multivariable logistic regression analysis.
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Stepwise model building procedures used a significance threshold of 0.05 for both entry and retention in the models.
In both methods, we first calculated crude odds ratio (OR) and hazard ratio (HR) with their 95% confidence intervals (CI) and then adjusted them with multivariate models using a backward selection process with p <0.1 used as the cutoff for retention in the models.
Diet had a clear effect, with increasing calorific intake prolonging retention in the dog model.
The stepwise method was used to select variables for retention in the adjusted model.
The findings were, however, corroborated by a higher vessel density (explaining the higher radiotracer delivery) and a higher pO2 (explaining the lower fractional retention) in the HT1080/26.6 model.
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