Sentence examples for backwards stepwise selection procedure from inspiring English sources

Pre-trafficking, trafficking, and post-trafficking variables which showed an association with mental disorder in univariable analyses (p<0.1) were considered in the backwards stepwise selection procedure.

A multivariable regression model was created using a backwards stepwise selection procedure which considered ten of these variables; post-trafficking marital status was not included in the backwards stepwise selection procedure because its effects were seen to be driven by very small numbers (see Table  1).

A backwards stepwise selection procedure was used to create a multivariable regression model of risk factors for DSM-IV mental disorder measured at an average of 6 months post-return.

Using a manual backwards stepwise selection procedure, factors with higher p-values were removed until only variables with a p-value <0.05 were left in the final model [ 17].

Using logistic regression, a backwards stepwise selection procedure yielded the following clinical features for inclusion in our scoring system; macroglossia, exomphalos, organomegaly, macrosomia, FNF, neonatal hypoglycaemia, and hemihypertrophy (Table  2).

Finally, a multivariable regression model of risk factors for DSM-IV mental disorder at an average of 6 months post-return was created using a backwards stepwise selection procedure.

A backward stepwise selection procedure was used to select significant independent variables.

Backward stepwise selection procedure was used.

In multivariate analysis, a backward stepwise selection procedure was used.

A backward stepwise selection procedure was used with successive removals of non-significant interactions and factors.

Multivariate analyses were conducted using the Cox proportional hazards model backward stepwise selection procedure.