Conditional validation sampling for consistent risk estimation with binary outcome data subject to misclassification
Sign Up to like & getrecommendations! Published in 2019 at "Pharmacoepidemiology and Drug Safety"
DOI: 10.1002/pds.4701
Abstract: Misclassification of a binary outcome can introduce bias in estimation of the oddsâratio associated with an exposure of interest in pharmacoepidemiology research. It has been previously demonstrated that utilizing information from an internal randomly selected… read more here.
Keywords: misclassification; conditional validation; estimation; binary outcome ... See more keywords
Validation to correct for outcome misclassification bias
Sign Up to like & getrecommendations! 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
Noninferiority testing for matched-pair ordinal data with misclassification.
Sign Up to like & getrecommendations! Published in 2019 at "Statistics in medicine"
DOI: 10.1002/sim.8364
Abstract: New treatments that are noninferior or equivalent to-but not necessarily superior to-the reference treatment may still be beneficial to patients because they have fewer side effects, are more convenient, take less time, or cost less.… read more here.
Keywords: noninferiority testing; misclassification; testing matched; matched pair ... See more keywords
Two-stage enrichment clinical trial design with adjustment for misclassification in predictive biomarkers.
Sign Up to like & getrecommendations! Published in 2019 at "Statistics in medicine"
DOI: 10.1002/sim.8370
Abstract: A two-stage enrichment design is a type of adaptive design, which extends a stratified design with a futility analysis on the marker negative cohort at the first stage, and the second stage can be either… read more here.
Keywords: two stage; misclassification; stage enrichment; marker ... 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
Repeated interviews are much better for drug exposure assessment than a single baseline interview
Sign Up to like & getrecommendations! Published in 2019 at "European Journal of Epidemiology"
DOI: 10.1007/s10654-019-00581-8
Abstract: In clinical epidemiology, the association between a risk factor and a disease can be flawed by bias and confounding. This should be prevented by a proper design and adjustment. One important aspect is the reliability… read more here.
Keywords: use; interview; misclassification; exposure ... See more keywords
Machine learning misclassification of academic publications reveals non-trivial interdependencies of scientific disciplines
Sign Up to like & getrecommendations! Published in 2021 at "Scientometrics"
DOI: 10.1007/s11192-020-03789-8
Abstract: Exploring the production of knowledge with quantitative methods is the foundation of scientometrics. In an application of machine learning to scientometrics, we here consider the classification problem of the mapping of academic publications to the… read more here.
Keywords: machine learning; misclassification; scientific disciplines; academic publications ... See more keywords
Logistic regression with misclassification in binary outcome variables: a method and software
Sign Up to like & getrecommendations! Published in 2017 at "Behaviormetrika"
DOI: 10.1007/s41237-017-0031-y
Abstract: Measurement error in continuous, normally distributed data is well known in the literature. Measurement error in a binary outcome variable, however, remains under-studied. Misclassification is the error in categorical data in which the observed category… read more here.
Keywords: logistic regression; misclassification; regression misclassification; model ... See more keywords
The impact of maternal smoking during pregnancy on childhood asthma: adjusted for exposure misclassification; results from the National Health and Nutrition Examination Survey, 2011-2012.
Sign Up to like & getrecommendations! Published in 2018 at "Annals of epidemiology"
DOI: 10.1016/j.annepidem.2018.07.011
Abstract: PURPOSE We sought to examine the association between childhood asthma and self-reported maternal smoking during pregnancy (MSDP) after adjusting for a range of exposure misclassification scenarios using a Bayesian approach that incorporated exposure misclassification probability… read more here.
Keywords: adjusted exposure; misclassification; exposure misclassification; msdp asthma ... See more keywords
Incorporation of expert knowledge in the statistical detection of diagnosis related group misclassification
Sign Up to like & getrecommendations! Published in 2020 at "International journal of medical informatics"
DOI: 10.1016/j.ijmedinf.2020.104086
Abstract: BACKGROUND In activity based funding systems, the misclassification of inpatient episode Diagnostic Related Groups (DRGs) can have significant impacts on the revenue of health care providers. Weakly informative Bayesian models can be used to estimate… read more here.
Keywords: hybrid prior; detection; incorporation expert; expert knowledge ... See more keywords
Diagnosing intramammary infection: Controlling misclassification bias in longitudinal udder health studies.
Sign Up to like & getrecommendations! 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