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Avoiding Systematic Bias in Orthopedics Research Through Informed Variable Selection: A Discussion of Confounders, Mediators, and Colliders.
Devick, Katrina L; Zaniletti, Isabella; Larson, Dirk R; Lewallen, David G; Berry, Daniel J; Maradit Kremers, Hilal.
Affiliation
  • Devick KL; Department of Quantitative Health Sciences, Mayo Clinic, Scottsdale, Arizona.
  • Zaniletti I; Department of Quantitative Health Sciences, Mayo Clinic, Scottsdale, Arizona.
  • Larson DR; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
  • Lewallen DG; Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota.
  • Berry DJ; Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota.
  • Maradit Kremers H; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota; Department of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota.
J Arthroplasty ; 37(10): 1951-1955, 2022 10.
Article in En | MEDLINE | ID: mdl-36162928
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.
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Full text: 1 Database: MEDLINE Main subject: Orthopedics / Orthopedic Procedures Type of study: Prognostic_studies Limits: Humans Language: En Year: 2022 Type: Article

Full text: 1 Database: MEDLINE Main subject: Orthopedics / Orthopedic Procedures Type of study: Prognostic_studies Limits: Humans Language: En Year: 2022 Type: Article