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The final model was chosen through a backward selection process.
A backward selection process was used to identify significant predictors.
Covariates were tested for a significance level of p < 0.10 via a backward selection process.
Final models in each domain were chosen through a backward selection process.
A backward selection process was utilized.
Final models were chosen using a backward selection process with an exit criterion of p > 0.001.
Similar(39)
A backward selection procedure will be applied for model building.
We used a backward selection procedure to identify significant confounders.
Prognostic factors were identified using a backward selection procedure.
A backward selection procedure was used, and a p-value of ≤0.05 was considered statistically significant.
We used a backward selection procedure to generate a parsimonious final model.
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