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   Articles with "misclassification bias" as a keyword



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Validation to correct for outcome misclassification bias

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recommendations! Published in 2023 at "Pharmacoepidemiology and Drug Safety"

DOI: 10.1002/pds.5601

Abstract: Key Points 1. Outcome validation is often requested by regulators to address misclassification bias in database studies of drug safety and comparative effectiveness. 2. Validation studies commonly report only one positive predictive value (PPV) estimate.… read more here.

Keywords: misclassification bias; misclassification; validation; outcome misclassification ... See more keywords
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Diagnosing intramammary infection: Controlling misclassification bias in longitudinal udder health studies.

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recommendations! Published in 2018 at "Preventive veterinary medicine"

DOI: 10.1016/j.prevetmed.2017.11.010

Abstract: Using imperfect tests may lead to biased estimates of disease frequency and of associations between risk factors and disease. For instance in longitudinal udder health studies, both quarters at risk and incident intramammary infections (IMI)… read more here.

Keywords: incidence; misclassification; quarter; association ... See more keywords
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Quantitative bias analysis of prevalence under misclassification: evaluation indicators, calculation method and case analysis.

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recommendations! Published in 2023 at "International journal of epidemiology"

DOI: 10.1093/ije/dyac239

Abstract: Prevalence estimates are fundamental to epidemiological studies. Although they are highly vulnerable to misclassification bias, the risk of bias assessment of prevalence estimates is often neglected. Quantitative bias analysis (QBA) can effectively estimate misclassification bias… read more here.

Keywords: misclassification bias; misclassification; prevalence; analysis ... See more keywords
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Misclassification Bias in the Assessment of Gene-By-Environment Interactions.

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recommendations! Published in 2022 at "Epidemiology"

DOI: 10.1289/isee.2022.o-op-088

Abstract: BACKGROUND Misclassification bias is a common concern in epidemiologic studies. Despite strong bias on main effects, gene-environment interactions have been shown to be biased towards the null under gene-environment independence. In the context of a… read more here.

Keywords: environment interactions; gene; misclassification bias; gene environment ... See more keywords