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Comparing external and internal validation methods in correcting outcome misclassification bias in logistic regression: A simulation study and application to the case of postsurgical venous thromboembolism following total hip and knee arthroplasty.

Jiayi NiKaberi DasguptaSuzan R KahnDenis TalbotGeneviève LefebvreLisa M LixGreg BerryMark BurmanRonald DimentbergYves LaflammeAlain CirkovicElham Rahme
Published in: Pharmacoepidemiology and drug safety (2018)
VTE identified from administrative data had low sensitivity and high specificity. The Bayesian external approach was useful to reduce outcome misclassification bias in logistic regression; however, it required accurate specification of the misclassification properties and should be used with caution.
Keyphrases
  • venous thromboembolism
  • total hip
  • total knee arthroplasty
  • direct oral anticoagulants
  • electronic health record
  • high resolution
  • big data
  • machine learning
  • mass spectrometry
  • atrial fibrillation