Open AccessHow Often Do Orthopaedic Matched Case-Control Studies Use Matched Methods? A Review of Methodological Quality
Author(s) -
Drake G. LeBrun,
Tram Tran,
David Wypij,
Mininder S. Kocher
Publication year - 2018
Publication title -
clinical orthopaedics and related research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.178
H-Index - 204
eISSN - 1528-1132
pISSN - 0009-921X
DOI - 10.1097/corr.0000000000000612
Subject(s) - medicine , biostatistics , confounding , propensity score matching , matching (statistics) , logistic regression , statistics , case control study , statistical significance , sample size determination , statistical process control , surgery , epidemiology , computer science , pathology , mathematics , process (computing) , operating system
Case-control studies are a common method of analyzing associations between clinical outcomes and potential risk factors. Matching cases to controls based on known confounding variables can decrease bias and allow investigators to assess the association of interest with increased precision. However, the analysis of matched data generally requires matched statistical methods, and failure to use these methods can lead to imprecise or biased results. The appropriate use of matched statistical methods in orthopaedic case-control studies has not been documented.