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
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DOI: 10.1002/pds.4693
Abstract: We assessed the validity of postsurgery venous thromboembolism (VTE) diagnoses identified from administrative databases and compared Bayesian and multiple imputation (MI) approaches in correcting for outcome misclassification in logistic regression models. read more here.
Keywords: venous thromboembolism; outcome misclassification; logistic regression; correcting outcome ... See more keywords
Validation to correct for outcome misclassification bias
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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
Nonparametric estimation of the cumulative incidence function under outcome misclassification using external validation data.
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DOI: 10.1002/sim.8380
Abstract: Misclassification of outcomes or event types is common in health sciences research and can lead to serious bias when estimating the cumulative incidence functions in settings with competing risks. Recent work has shown how to… read more here.
Keywords: misclassification; outcome misclassification; external validation; cumulative incidence ... See more keywords