Sentence examples for backward deletion from inspiring English sources

The final logistic model was selected by the backwards stepwise procedure, with a significant level of α = 0.10 for backward deletion.

To test the significance of the covariate inclusion, e.g., effect of tariquidar and SE, a stepwise forward addition and backward deletion approach was applied, and covariates were only kept in the model if they significantly improved the model.

The second step is the pruning step, where a "one-at-a-time" backward deletion procedure is applied in which the basis functions with the least contribution to the model are eliminated.

All two-way interaction terms were included in the model initially and then all insignificant interaction terms were removed sequentially (backward deletion) by decreasing P value.

The remaining four significant demographic or lab covariates and the two significant SNPs (SLCO1B1 rs11045819 and ABCC2 rs8187710) were then evaluated by forward addition and backward deletion.

Model selection in multivariate analysis was based on 1) minimum reduction of OFV by 3.84 (P≤0.05) for forward inclusion, 2) reduction of OFV by 6.64 or greater (P≤0.01) for backward deletion, and 3) decrease in residual error and/or BSV of the evaluated PK parameter.

Using a cutoff of p≤.05, which corresponded to a minimum decrease of the objective function value (OFV) of 3.84 upon inclusion of each individual covariate based on the likelihood-ratio test, multivariate analysis with forward stepwise inclusion, backward stepwise deletion, and forward selection followed by backward elimination were applied to finalize the covariate model.

All models were constructed using backward stepwise deletion of insignificant terms (P > 0.05).

The best model fit was found by using backward stepwise deletion of insignificant terms.

For multivariate analysis, backward stepwise regression with casewise deletion was used to determine those variables significantly contributing to each of the respective toxicity outcomes.

The significance of each explanatory variable in both models was analysed using deletion tests and a backward selection procedure.