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- W3025309073 abstract "Two-tailed asymptotic inferences for the ratio R=p2/p1 of two independent proportions have been well covered in the published literature. However, not very much has been written about one-tailed asymptotic inferences. This paper evaluates 63 different methods for realizing such inferences (hypothesis tests and confidence intervals). In general it is noted that: (a) the one-tailed inferences require at least 80 observations per sample, compared to the 40 observations necessary for two-tailed inferences; (b) the traditional methods do not perform well; (c) the methods selected for each case are not always the same; and (d) the optimal method is the ‘approximate adjusted score’ method (ZA1 in this paper), which is not always reliable, or ‘Peskun´s score’ method (ZP0 in theis paper), which is always reliable but is very conservative. The two selected methods provide an confidence interval that is obtained through an explicit formula." @default.
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- W3025309073 date "2020-05-13" @default.
- W3025309073 modified "2023-10-18" @default.
- W3025309073 title "One-tailed asymptotic inferences for the relative risk: A comparison of 63 inference methods" @default.
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- W3025309073 doi "https://doi.org/10.1080/03610926.2020.1760299" @default.
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