Sentence examples for backward selection was based from inspiring English sources

Backward selection was based on Wald tests and non-significant covariates were removed from the model (α = 0.05).

Model selection was based on Akaike's information criterion (AIC) and followed a backward stepwise model selection approach.

Backward selection was used to establish the most parsimonious model, with predictors significant at the α = 0.05 level (Table 3, base model).

Again, backward selection was used to select covariates.

Forward and backward selection was used to develop a parsimonious model.

Neither forward nor backward selection was performed.

Both forward and backward selection was used.

For multivariate analysis, linear regression with backward selection was used.

Backward selection was used to drop insignificant terms.

Both forward and backward selection procedures produced similar results, therefore only the adjusted model resulting from backward selection is presented.

The selection process was based on both backward/forward stepwise regression search, which involves starting with all candidate variables and testing for statistical significance one by one.