Journal article
Dichotomization: 2 x 2 (x2 x 2 x 2...) categories: infinite possibilities
BMC medical research methodology, v 10, pp 59-59
23 Jun 2010
PMID: 20573189
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Consumers of epidemiology may prefer to have one measure of risk arising from analysis of a 2-by-2 table. However, reporting a single measure of association, such as one odds ratio (OR) and 95% confidence interval, from a continuous exposure variable that was dichotomized withholds much potentially useful information. Results of this type of analysis are often reported for one such dichotomization, as if no other cutoffs were investigated or even possible.
This analysis demonstrates the effect of using different theory and data driven cutoffs on the relationship between body mass index and high cholesterol using National Health and Nutrition Examination Survey data. The recommended analytic approach, presentation of a graph of ORs for a range of cutoffs, is the focus of most of the results and discussion.
These cutoff variations resulted in ORs between 1.1 and 1.9. This allows investigators to select a result that either strongly supports or provides negligible support for an association; a choice that is invisible to readers. The OR curve presents readers with more information about the exposure disease relationship than a single OR and 95% confidence interval.
As well as offering results for additional cutoffs that may be of interest to readers, the OR curve provides an indication of whether the study focuses on a reasonable representation of the data or outlier results. It offers more information about trends in the association as the cutoff changes and the implications of random fluctuations than a single OR and 95% confidence interval.
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Details
- Title
- Dichotomization: 2 x 2 (x2 x 2 x 2...) categories: infinite possibilities
- Creators
- Karyn K Heavner - School of Public Health, University of Alberta, Edmonton, Alberta T6G 2L9, Canada. karynkh@aol.comCarl V PhillipsIgor BurstynWarren Hare
- Publication Details
- BMC medical research methodology, v 10, pp 59-59
- Publisher
- Springer BMC; England
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Environmental and Occupational Health
- Web of Science ID
- WOS:000279923900001
- Scopus ID
- 2-s2.0-77953690159
- Other Identifier
- 991014877884604721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Health Care Sciences & Services