1987
DOI: 10.2307/2336035
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Optimal Allocation for Bayesian Inference About an Odds Ratio

Abstract: JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org.. Biometrika Trust is collaborating with JSTOR to digitize, preserve and extend access to Biometrika. SUMMARYThe choice of ratio of sample sizes of two groups of binary observat… Show more

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Cited by 3 publications
(3 citation statements)
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References 8 publications
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“…Fazal (1983) appended to this discussion of optimization with respect to the odds ratio and the natural log of the odds ratio. Brooks (1987) utilized a Bayesian approach to account for prior uncertainty in determining the optimal allocation for an odds ratio. Power and sample size formulas have been reviewed and presented in Sahai and Khurshid (1996).…”
Section: Previous Researchmentioning
confidence: 99%
“…Fazal (1983) appended to this discussion of optimization with respect to the odds ratio and the natural log of the odds ratio. Brooks (1987) utilized a Bayesian approach to account for prior uncertainty in determining the optimal allocation for an odds ratio. Power and sample size formulas have been reviewed and presented in Sahai and Khurshid (1996).…”
Section: Previous Researchmentioning
confidence: 99%
“…See also Walley (1996) for discussion of a related "imprecise Dirichlet model" for multinomial data. Brooks (1987) used a Bayesian approach for the design problem of choosing the ratio of sample sizes for comparing two binomial proportions. Matthews (1999) also considered design issues in the context of two-sample comparisons.…”
Section: Tests Comparing Two Independent Binomial Samplesmentioning
confidence: 99%
“…strained by the fact that the total is fixed, has received some attention in the literature. Brooks (1987) deals with a Bayesian approach for k = 2, while Brittain and Schlesselman (1982) discuss this case from a frequentist viewpoint when trying to estimate p, -P2 or p1/p2. These pfoblems will not be discussed but some conclusions about allocation can be drawn from the work presented here and these will be discussed in Section 5.…”
Section: Wrmirmentioning
confidence: 99%