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Confidence Intervals for Relative Risk by Likelihood Ratio Test

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  • Mai Zhou

    (Department of Statistics, University of Kentucky, USA)

Abstract

In a recent article in this journal the authors compared four methods of constructing confidence interval for the relative risk. We aim to provide some more recent literature on this topic and propose to include in the comparison the alternative method of the Wilks confidence interval based on the likelihood ratio tests. We describe the procedure and provide R code for constructing such confidence intervals. No transformation is needed, and the procedure is known to often produce better confidence intervals in other settings [1]. AMS 2000 Subject Classification: Primary 60E15; secondary 60G30.

Suggested Citation

  • Mai Zhou, 2018. "Confidence Intervals for Relative Risk by Likelihood Ratio Test," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 6(5), pages 151-154, May.
    • Handle: RePEc:adp:jbboaj:v:6:y:2018:i:5:p:151-154
    DOI: 10.19080/BBOAJ.2018.06.555700
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    References listed on IDEAS

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    1. Alharbi N & Tsagris M, 2018. "Confidence Intervals for the Relative Risk," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 4(5), pages 113-117, February.
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