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When Does Differential Outcome Misclassification Matter for Estimating Prevalence?

Jessie K EdwardsStephen R ColeBonnie E Shook-SaPaul N ZivichNing ZhangCatherine R Lesko
Published in: Epidemiology (Cambridge, Mass.) (2022)
If validation data are a simple random sample from the target population, assuming nondifferential outcome misclassification will yield prevalence estimates with little bias regardless of whether misclassification varies across covariates. Otherwise, obtaining valid prevalence estimates requires incorporating covariates into the estimators used to account for misclassification.
Keyphrases
  • risk factors
  • big data