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Confidence Intervals for the Difference of Two Proportions Estimated From Pooled Samples

机译:从合并样本中估计出的两个比例之差的置信区间

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This article presents confidence intervals for the difference of two binomial proportions estimated from pooled samples with unequal pool sizes. Asymptotic methods are used to derive Wald, profile score, and profile likelihood ratio intervals. Corrections for bias and skewness of the distribution of the Studentized score statistic are used to improve the profile score interval. Further, the easily computed Wilson score-based interval of Newcombe is adapted. Coverage and noncoverage probabilities and expected lengths of the confidence intervals are estimated for a range of parameter values expected in application, for both one- and two-sample cases. The skewness-corrected profile score interval is generally recommended. The methods are applied to a comparison of West Nile virus mosquito infection prevalences by trapping height in field collections from Louisiana in 2003.
机译:本文介绍了从池大小不相等的合并样本中估算出的两个二项式比例之差的置信区间。渐近方法用于导出Wald,轮廓得分和轮廓似然比间隔。对Studentized评分统计信息分布的偏倚和偏度的校正可用于改善档案得分间隔。此外,对容易计算的基于新信的威尔逊得分的间隔进行了调整。对于一样本和两样本情况,估计了应用中预期的一系列参数值的覆盖率和非覆盖率概率以及预期的置信区间长度。通常建议校正偏斜度的轮廓分数间隔。该方法通过在2003年路易斯安那州的田间采集中捕获高度来将西尼罗河病毒蚊子感染的流行率进行比较。

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