Literature DB >> 36162928

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

Katrina L Devick1, Isabella Zaniletti1, Dirk R Larson2, David G Lewallen3, Daniel J Berry3, Hilal Maradit Kremers4.   

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 followinghttps://youtu.be/V-grpgB1ShQfor videos that explain the highlights of the article in practical terms.
Copyright © 2022 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  confounding; databases; directed acyclic graph; mediation analysis; selection bias; total joint arthroplasty

Mesh:

Year:  2022        PMID: 36162928     DOI: 10.1016/j.arth.2022.05.027

Source DB:  PubMed          Journal:  J Arthroplasty        ISSN: 0883-5403            Impact factor:   4.435


  2 in total

1.  Study Types in Orthopaedics Research: Is My Study Design Appropriate for the Research Question?

Authors:  Isabella Zaniletti; Katrina L Devick; Dirk R Larson; David G Lewallen; Daniel J Berry; Hilal Maradit Kremers
Journal:  J Arthroplasty       Date:  2022-09-06       Impact factor: 4.435

Review 2.  P-Values and Power in Orthopedic Research: Myths and Reality.

Authors:  Isabella Zaniletti; Katrina L Devick; Dirk R Larson; David G Lewallen; Daniel J Berry; Hilal Maradit Kremers
Journal:  J Arthroplasty       Date:  2022-09-06       Impact factor: 4.435

  2 in total

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