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At the start variables were selected for inclusion in the model if their univariate analysis p-value was <= 0.25.
We considered covariates for inclusion in the model if they were significantly (p < 0.1) associated with salivary cortisol.
Variables were also considered for inclusion in the model if they were noted to be involved in confounding on stratified analysis.
Variables were considered for inclusion in the model if the significance in two-way analyses was less than 0.2 or if they were theoretically important.
Covariates were considered for inclusion in the model if they were biologically plausible and there was improvement in the base model, that is, decrease in objective function (at least 3.84 units), decrease in the unexplained between-subject variability of the parameter, or decrease in residual unexplained variability.
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Factors will be considered for inclusion in the model as potentially associated with DDC and OS if the univariate p-value is ≤ 0.1.
Continuous prognostic variables were also considered for inclusion in the model as dichotomous variables using various cutoff points only if they attained a P-value of ⩽0.1 in the univariate analysis.
For regression models, covariates for inclusion in the model were identified from bivariate analyses.
The criterion for inclusion in the model was p ≤ 0.05.
Each marker that is not already in the model is tested for inclusion in the model.
Variables considered for inclusion in the models were assessed for missing data.
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