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Evaluating the performance of simultaneous stepwise confidence intervals for the difference between two Poisson rates

机译:评估两个Poisson率之差的同时逐步置信区间的性能

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摘要

We consider the problem of simultaneously estimating Poisson rate differences via applications of the Hsu and Berger stepwise confidence interval method (termed HBM), where comparisons to a common reference group are performed. We discuss continuity-corrected confidence intervals and investigate the HBM performance with a moment-based confidence interval, and uncorrected and corrected for continuity Wald and Pooled confidence intervals. Using simulations, we compare nine individual confidence intervals in terms of coverage probability and the HBM with nine intervals in terms of family-wise error rate and overall and local power. The simulations show that these statistical properties depend highly on parameter settings.
机译:我们考虑通过使用Hsu和Berger逐步置信区间方法(称为HBM)同时估算泊松率差异的问题,在该方法中,与一个普通参考组进行了比较。我们讨论了连续性校正的置信区间,并研究了基于矩的置信区间的HBM性能,并对连续性Wald和Pooled置信区间进行了未校正和校正。通过模拟,我们将覆盖率和HBM的9个独立置信区间与家庭错误率以及总体和本地功率的9个区间进行了比较。仿真表明,这些统计属性高度依赖于参数设置。

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