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• W2297485674 abstract "AbstractIn order to measure the association between an exposure variable X and an outcome variable Y , we introduce the effect-control sampling design and we consider the family of symmetric association measures. Focusing on the case of binary exposure and outcome variables, a general estimator of such measures is proposed and its asymptotic properties are also discussed. We define an allocation procedure for a stratified effect-control design, which is optimal in terms of the variance of such an estimator. Finally, small sample behavior is investigated by Monte Carlo simulation for a measure belonging to the family, which we believe particularly interesting as it possess the appealing property of being normalized.KeywordsAssociation measuresOptimal samplingSample design and estimation" @default.
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• W2297485674 date "2013-01-01" @default.
• W2297485674 modified "2023-09-24" @default.
• W2297485674 title "Symmetric Association Measures in Effect-Control Sampling" @default.
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• W2297485674 doi "https://doi.org/10.1007/978-3-642-35588-2_24" @default.
• W2297485674 hasPublicationYear "2013" @default.
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