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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Published in | Statistics in medicine Vol. 35; no. 30; pp. 5730 - 5735 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
England
Blackwell Publishing Ltd
30.12.2016
Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
ISSN | 0277-6715 1097-0258 |
DOI | 10.1002/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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Bibliography: | ArticleID:SIM7059 ark:/67375/WNG-B5FMFLSN-8 istex:BDBC94A8E3A868EEA280D5518EE7AB8086B963E9 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0277-6715 1097-0258 |
DOI: | 10.1002/sim.7059 |