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  Vol. 282 No. 6, August 11, 1999 TABLE OF CONTENTS
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Correcting the Odds Ratio in Cohort Studies of Common Outcomes

Since this article does not have an abstract, we have provided the first 150 words of the full text and any section headings.

To the Editor: The article by Drs Zhang and Yu1 addresses a common mistake—using the odds ratio (OR) to estimate relative risk (RR) when the disease being studied is common (>10%).1 The authors' proposed solution is intriguing; however, it may be an oversimplification.

Logistic regression yields an OR between each variable and the outcome of interest. The formula presented to calculate the RR from the OR appears to be reasonable if there is no effect modification—that is, the RR is similar for all levels of the confounding variables. However, it is possible for the OR to display homogeneity across covariate patterns while the RR does not because they are calculated differently.

More important, the proposed adjustment of the confidence interval (CI) can produce narrower intervals than direct estimates. The proposed correction ignores the variance of P0; however, P0 is usually only a sample-based estimate. Directly estimated CIs for RR . . . [Full Text of this Article]



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RELATED ARTICLE

What's the Relative Risk?: A Method of Correcting the Odds Ratio in Cohort Studies of Common Outcomes
Jun Zhang and Kai F. Yu
JAMA. 1998;280(19):1690-1691.
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Reporting Statistical Information in Medical Journal Articles
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Logistic Regression Analysis: When the Odds Ratio Does Not Work: An Example Using Intimate Partner Violence Data
McNUTT et al.
J Interpers Violence 2000;15:1050-1059.
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