Augmented Backward Elimination: A Pragmatic and Purposeful Way to Develop Statistical Models
Table 3
Urine osmolarity example: final models selected by backward elimination (BE) with a significance threshold , augmented backward elimination (ABE) with
and a change-in-estimate threshold
, and unselected model (No selection).