Misspecification of confounder-exposure and confounder-outcome associations leads to bias in effect estimates

HIGHLIGHTS

  • who: Noah A. Schuster from the (UNIVERSITY) have published the Article: Misspecification of confounder-exposure and confounder-outcome associations leads to bias in effect estimates, in the Journal: (JOURNAL)
  • what: The aim of this paper is to demonstrate the importance of assessing the linearity assumption for confounderexposure and confounder-outcome associations and the importance of correctly specifying these associations when the linearity assumption is violated. The authors describe how the linearity assumption can be assessed. The authors provide an overview of methods that can be used to model non-linear effects. Although in this paper . . .

     

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