Statistical methods to correct for verification bias in diagnostic studies are inadequate when there are few false negatives: a simulation study

摘要

BackgroundA common feature of diagnostic research is that results for a diagnostic gold standard are available primarily for patients who are positive for the test under investigation. Data from such studies are subject to what has been termed "verification bias". We evaluated statistical methods for verification bias correction when there are few false negatives.