This dataset contains an outcome, an independent variable of interest (let's call it "var"), several covariates.
Traditionally, we can build a regression model with the outcome as Y, the "var" and the covariates as Xs.
However, we are thinking of getting the "var" adjusted by the covariate, and then modeling this "var" with Y. It seems there were some papers using such methods, but I just cannot find them now.
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