Sequential Inference for the Risk Ratio and a Measure of Reduction

University of Nevada

Thursday, October 9, 2014 - 3:30pm

We propose sequential methods for obtaining approximate confidence limits and optimal sample sizes for the risk ratio (RR) of two independent binomial variates and a measure of reduction (MOR). The procedure is developed based on a modified maximum likelihood estimator (MLE) for the ratio. First-order asymptotic expansions are obtained for large-sample properties of the proposed procedure and we investigate its
finite sample behavior through numerical studies.

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