Limitations of the odds ratio in gauging the performance of a diagnostic, prognostic, or screening marker.
By M. Pepe, H. Janes, G. Longton, W. Leisenring, P. Newcomb. American Journal of Epidemiology, 2004
1,337 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/4d0c0d90fbcd63f3df0c9ce986a4de8c2f4b4bae
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Citations in the corpus
- Cardiovascular mortality risk in chronic kidney disease: comparison of traditional and novel risk factors. (2005, methodology): “In addition, we estimated the absolute risk associated with each candidate risk factor and constructed receiver operating characteristic (ROC) curves to estimate the aggregate predictive utility of traditional and novel risk factors.(11)”
- Towards better clinical prediction models: seven steps for development and an ABCD for validation. (2014, background): “that markers with statistically significant effects, but with a modest relative effect size, will not impact tremendously on identifying those with or without the endpoint.(48) Cost-effectiveness analyses should eventually guide us on the question whether an increase in”
- Gestational diabetes and pregnancy outcomes - a systematic review of the World Health Organization (WHO) and the International Association of Diabetes in Pregnancy Study Groups (IADPSG) diagnostic criteria (2012, background): “Nevertheless, even if GDM diagnostic criteria were to reach relative risks close to 3 for these adverse outcomes in such settings, the relative risks would still be unlikely to reflect major diagnostic discrimination in terms of post test probabilities [21].”
- Diagnostic criteria and classification of hyperglycaemia first detected in pregnancy: a World Health Organization Guideline. (2014, background): “[39] Pepe MS, Janes H, Longton G, Leisenring W, Newcomb P.”
- Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research (2013, background): “Because standard models generally include important predictors, the independent effects of new prognostic factors need to be quite strong before a clinically useful improvement is achieved [54].”
- Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond (2008, background): “Ware and Pepe show simple examples in which enormous odds ratios are required to meaningfully increase the AUC [ 19 , 21].”
- Assessing the performance of prediction models: a framework for some traditional and novel measures (2010, background): “Predictions are hence absolute risks, which go beyond assessments of relative risks, such as regression coefficients, odds ratios, or hazard ratios.(2) There are various ways to assess the performance of a statistical prediction model.”