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Confidence Intervals for Relative Risk by Likelihood Ratio Test

Mai Zhou
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Mai Zhou: Department of Statistics, University of Kentucky, USA

Biostatistics and Biometrics Open Access Journal, 2018, vol. 6, issue 5, 151-154

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.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:6:y:2018:i:5:p:151-154

DOI: 10.19080/BBOAJ.2018.06.555700

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