Prevalence odds ratio versus prevalence ratio: choice comes with consequences

Odds ratio, risk ratio, and prevalence ratio are some of the measures of association which are often reported in research studies quantifying the relationship between an independent variable and the outcome of interest. There has been much debate on the issue of which measure is appropriate to repor...

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Bibliographic Details
Published inStatistics in medicine Vol. 35; no. 30; pp. 5730 - 5735
Main Authors Tamhane, Ashutosh R., Westfall, Andrew O., Burkholder, Greer A., Cutter, Gary R.
Format Journal Article
LanguageEnglish
Published England Blackwell Publishing Ltd 30.12.2016
Wiley Subscription Services, Inc
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Online AccessGet full text
ISSN0277-6715
1097-0258
DOI10.1002/sim.7059

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Summary:Odds ratio, risk ratio, and prevalence ratio are some of the measures of association which are often reported in research studies quantifying the relationship between an independent variable and the outcome of interest. There has been much debate on the issue of which measure is appropriate to report depending on the study design. However, the literature on selecting a particular category of the outcome to be modeled and/or change in reference group for categorical independent variables and the effect on statistical significance, although known, is scantly discussed nor published with examples. In this article, we provide an example of a cross‐sectional study wherein prevalence ratio was chosen over (Prevalence) odds ratio and demonstrate the analytic implications of the choice of category to be modeled and choice of reference level for independent variables. Copyright © 2016 John Wiley & Sons, Ltd.
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ISSN:0277-6715
1097-0258
DOI:10.1002/sim.7059