Before revision:  Methodologically, we develop the "RelATive cEntrality" (RATE) measure to prioritize candidate predictors that are not just marginally important, but whose associations also stem from significant covarying relationships with other variables in the data.
After revision:  Methodologically, we develop the "RelATive cEntrality" (RATE) measure to prioritize candidate predictors that are not just marginally important, but whose associations also stem from significant covarying relationships with other variants in the data.