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The main effect model was built using a backward stepwise elimination technique.
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Note.aAdjusted models were derived from backward and stepwise elimination techniques performed in SAS version 9.3 (SAS Institute, Cary, NC).
I performed model selection using backward stepwise elimination.
Backward stepwise elimination was used to reduce general models to the most parsimonious version.
We generated simplified models by means of backward stepwise elimination.
We generated parsimonious models by means of backward stepwise elimination.
Results from the backward stepwise elimination model were reported.
Backward stepwise elimination (criteria p<0.10) was used to select the final variables for inclusion.
Final variable selection was done using a backward stepwise elimination process.
Multinomial logistic regression, with backward stepwise elimination, was used with "source of referral" as dependent variable.
Subsequently, reduced models are estimated, dropping non-significant variables by using a backward stepwise elimination procedure.
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