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Exact and mid-p confidence intervals for the odds ratio

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  • Morten W. Fagerland

    (Oslo University Hospital)

Abstract

The odds ratio is a frequently used effect measure for two independent binomial proportions. Unfortunately, the confidence intervals that are available for it in Stata and other standard software packages are generally wider than necessary, particularly for small-sample and exact estimation. The performance of the Cornfield exact interval—the only widely available exact interval for the odds ratio—may be improved by incorporating a small modification attributed to Baptista and Pike (1977, Journal of the Royal Statistical Society, Series C 26: 214–220). A further improvement is achieved when the Baptista–Pike method is combined with the mid-p approach. In this article, I present the command merci (mid-p and exact odds-ratio confidence intervals) and its immediate version mercii, which calculate the Cornfield exact, Cornfield mid-p, Baptista-Pike exact, and Baptista-Pike mid-p confidence intervals for the odds ratio. I compare these intervals with three well-known logit intervals. I strongly recommend the Baptista-Pike mid-p interval.

Suggested Citation

  • Morten W. Fagerland, 2012. "Exact and mid-p confidence intervals for the odds ratio," Stata Journal, StataCorp LP, vol. 12(3), pages 505-524, September.
    • Handle: RePEc:tsj:stataj:v:12:y:2012:i:3:p:505-514
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    References listed on IDEAS

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    1. Alan Agresti, 1999. "On Logit Confidence Intervals for the Odds Ratio with Small Samples," Biometrics, The International Biometric Society, vol. 55(2), pages 597-602, June.
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    Cited by:

    1. Sören Möller & Linda Juel Ahrenfeldt, 2021. "Estimating Relative Risk When Observing Zero Events—Frequentist Inference and Bayesian Credibility Intervals," IJERPH, MDPI, vol. 18(11), pages 1-9, May.

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