marginally significantP <.10
Retaining “marginally significant” covariates in the final model (ie, using a cutoff of P <.10 as opposed to P <.05) constitutes a more conservative test of the independent predictive ability of each variable, while eliminating those that did not approach significance in earlier models reduces noise and increases parsimony.