Literature DB >> 14716727

Reconsidering the odds ratio as a measure of 2x2 association in a population.

Helena Chmura Kraemer1.   

Abstract

The odds ratio (OR) is probably the most widely used measure of 2x2 association in epidemiology, but it often produces results that are puzzling or misleading. Receiver operating characteristic (ROC) methods are used to take a fresh look at the OR and show where and why such puzzling results arise. When researchers choose to report a summary measure of association, the OR is one of many measures of association that might be considered, not one that should be considered the 'gold standard' of 2x2 measures of association. In a randomized clinical trial with binary outcome for success, either the success or failure rates in treatment and control groups might be reported separately or the number needed to treat to achieve one extra success, to emphasize the cost of unnecessary treatment needed to achieve a success. In studies assessing reliability or heritability, we recommend the intraclass kappa. In studies in which one binary variable is assessed against a binary criterion, we recommend the weighted kappa. Copyright 2004 John Wiley & Sons, Ltd.

Mesh:

Year:  2004        PMID: 14716727     DOI: 10.1002/sim.1714

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  26 in total

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8.  Epidemiological methods: about time.

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9.  A note on Youden's J and its cost ratio.

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10.  A novel nonparametric approach for estimating cut-offs in continuous risk indicators with application to diabetes epidemiology.

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