1998
DOI: 10.1136/bmj.316.7136.989
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When can odds ratios mislead?

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Cited by 831 publications
(604 citation statements)
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“…The estimated odds ratio may overestimate the true relative risk of having detectable CAC under the condition of high disease prevalence. 48 Inferences from the models (e.g., elevated risk of having detectable CAC presence among women with HDP compared with women without HDP), however remain the same whether using odds ratios or relative risks to quantify the association.…”
Section: Discussionmentioning
confidence: 99%
“…The estimated odds ratio may overestimate the true relative risk of having detectable CAC under the condition of high disease prevalence. 48 Inferences from the models (e.g., elevated risk of having detectable CAC presence among women with HDP compared with women without HDP), however remain the same whether using odds ratios or relative risks to quantify the association.…”
Section: Discussionmentioning
confidence: 99%
“…10 Because the proportion who did not participate was large, our data violated the rare outcome assumption. To confirm the validity of our odds ratios, we compared them to the risk ratio estimates obtained using log-link binominal regression in GLIM.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…In cases with high prevalence the relative risk will give a better estimate, which should be observed when the odds ratios are interpreted. 24,25 Multivariate logistic regression analyses were carried out with Proc Logistic in the SAS-system. 26 Point estimates and 95% con®dence intervals for obesity were obtained from self-reported weight and height in adult men and women after adjustment for medicated and non-medicated asthma and other related covariables ( Table 3).…”
Section: Statistical Analysesmentioning
confidence: 99%