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Activity Number: 435
Type: Contributed
Date/Time: Tuesday, August 2, 2016 : 2:00 PM to 3:50 PM
Sponsor: Biopharmaceutical Section
Abstract #320386
Title: Two-Stage Procedure for Fixed-Width Confidence Intervals of the Risk Ratio
Author(s): Hokwon Cho*
Companies: University of Nevada, Las Vegas
Keywords: Two-stage procedure ; fixed-width confidence intervals ; risk ratio ; optimal sample sizes ; bias correction ; first-order asymptotics
Abstract:

A two-stage procedure is considered for obtaining fixed-width confidence intervals and optimal sample sizes of the risk ratio (RR) of two independent binomial proportions. We study desirable properties of the proposed estimator based on a bias-corrected maximum likelihood estimator (MLE). The two-stage procedure provides flexible sampling strategies, thus can be more advantageous in inference. Thus, the proposed procedure can be a remedy for the pure-sequential method's drawbacks such as asymptotic consistency and a shortfall of coverage to the nominal probability. To investigate large-sample properties of the proposed procedure, first-order asymptotic expansions are obtained. Through Monte Carlo experiments, we examine finite sample behavior for various scenarios of samples for illustrations.


Authors who are presenting talks have a * after their name.

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