Sentence examples for backward stepwise regression procedure from inspiring English sources

The backward stepwise regression procedure, with a p value of 0.05 for backward-selection, was used to obtain the final models for the logistic regression analysis.

Backward stepwise regression procedure was used and the threshold for variant removal was set at 0.10.

A backward stepwise regression procedure was then applied to select the final multivariate models.

Here, a Wald backward stepwise regression procedure (exit criterion p = 0.05), starting with all of the predictors in the model, was used to identify the suppressor variables.

Accordingly, we used a backward stepwise regression procedure to identify the most appropriate multiple regression model based on a starting model that included age, TCDD concentration category, and TCDD concentration × age.

Similar to our computation of the LEO.NB.CPA score, the authors use a forward-backward stepwise regression procedure to build the initial genetic model for the downstream trait.

Up to seven cofactors for CIM were chosen, using a forward-selection backward-elimination stepwise regression procedure with a significance threshold of 0.1.

Ten covariables were further analyzed with the Cox regression model by using a backward stepwise regression method.

Manual backward stepwise regression was used to construct the final model.

Backward stepwise regression was performed, eliminating variables that showed no significant association (p>0.05) with the outcome.

We developed the multivariate model using a backward stepwise regression analysis [23].