Sentence examples for backward stepwise regression analysis from inspiring English sources

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

Backward stepwise regression analysis for PON1-activity, PON1-genotype as well as PON1-activity adjusted for PON1-192 and PON1-55 genotype revealed no significant effect of these variables and CAD risk (see data supplement: Table S4, S5, S6).

Backward stepwise regression analysis was undertaken for model building.

Multiple linear regression and backward stepwise regression analysis were used to identify the significant variables.

Backward stepwise regression analysis revealed three variables to be independent predictors of positive interactions.

To identify any independent association, corresponding multiple logistic and linear regression models were developed using the backward stepwise regression analysis.

Health emergency response capacity associated factors were analyzed using backward linear stepwise regression analysis.

Backward stepwise regression all-inclusive analysis was run, including all dependent variables, with values of 0.20 to enter and 0.10 to stay in the model.

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

Predictors of improvement in systolic function and non-response to CRT were evaluated by univariate tests and were entered into a multivariable analysis (backward stepwise regression) if showing significant univariate correlation.

In the multivariate analysis, a backward stepwise regression was performed with a p = 0.05 as the inclusion criterion for variables in the univariate analysis.