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Stepwise elimination process was used to modify the initial proposed models.
I performed model selection using backward stepwise elimination.
A best subset was found using stepwise elimination.
Backward stepwise elimination was used to reduce general models to the most parsimonious version.
We performed stepwise elimination to remove factors that were not significantly associated (p>0.05) with nonadherence [15].
DCPGs are primarily based on differential diagnosis which involves a stepwise elimination of multiple hypotheses following an evidence based strategy.
We generated simplified models by means of backward stepwise elimination.
Logit4 = forward stepwise elimination with p-value 0.10 threshold.
We generated parsimonious models by means of backward stepwise elimination.
Results from the backward stepwise elimination model were reported.
Multinomial logistic regression, with backward stepwise elimination, was used with "source of referral" as dependent variable.
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