Avoiding Systematic Bias in Orthopedics Research Through Informed Variable Selection: A Discussion of Confounders, Mediators, and Colliders

Katrina L. Devick, Isabella Zaniletti, Dirk R. Larson, David G. Lewallen, Daniel J. Berry, Hilal Maradit Kremers

Research output: Contribution to journalArticlepeer-review

Abstract

There are 3 common variable types in orthopedic research—confounders, colliders, and mediators. All 3 types of variables are associated with both the exposure (eg, surgery type, implant type, body mass index) and outcome (eg, complications, revision surgery) but differ in their temporal ordering. To reduce systematic bias, the decision to include or exclude a variable in an analysis should be based on the variable's relationship with the exposure and outcome for each research question. In this article, we define 3 types of variables with case examples from orthopedic research. Please visit the following https://youtu.be/V-grpgB1ShQ for videos that explain the highlights of the article in practical terms.

Original languageEnglish (US)
Pages (from-to)1951-1955
Number of pages5
JournalJournal of Arthroplasty
Volume37
Issue number10
DOIs
StatePublished - Oct 2022

Keywords

  • confounding
  • databases
  • directed acyclic graph
  • mediation analysis
  • selection bias
  • total joint arthroplasty

ASJC Scopus subject areas

  • Orthopedics and Sports Medicine

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