Sentence examples for backwards stepwise regression procedure from inspiring English sources

Backwards stepwise regression procedure was used to remove variables based on the exit criterion (p > 0.10) (Gartland et al. 2001).

All analyses were run in R (version 2.14.0; R Core Team 2012) using the lme function in the package "nlme" using backwards stepwise regression.

This relationship, however, did not remain when assessed in a backwards stepwise regression model.

First, we select the important prognostic factors via a stepwise regression procedure with 100 bootstrap samples.

The model was then refined by manual backwards stepwise regression using ML to remove insignificant terms.

Backwards stepwise regression produced a similar result (data not shown).

Variables were eliminated through a manual backwards stepwise regression.

Model 1a excluded the variable dental disease during the backwards stepwise regression.

A backwards stepwise regression model was used to eliminate statistically redundant co-predictors.

We then performed backwards stepwise regression to determine statistically significant relationships after adjustment.

Those factors with p > 0.05 in backwards stepwise regression were dropped from the final model.