Problems with interval estimates of the incremental cost-effectiveness ratio
Problems with interval estimates of the incremental cost-effectiveness ratio
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DOI：
10.1177/0272989x9901900102
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发表时间：
1999-01-01
影响因子：
3.6
通讯作者：
Whang, W
中科院分区：
文献类型：
--
作者：
Heitjan, DF;Moskowitz, AJ;Whang, W
置信区间的定义特征是，无论参数的值如何，它都具有覆盖被估计参数的真实值的固定最小概率。作者通过模拟表明，最近提出的一些方法的增量成本效果比（ICER）的区间估计要么不满足这个定义，或有其他问题，限制其实用性的应用。当ICER很大，而实际有效性差异相对于其标准误差很小时，问题最为突出。百分位数自助置信区间的修改，涉及重新排序的样本空间提供了一个部分的解决方案的问题。
The defining feature of a confidence interval is that it has a fixed minimum probability of covering the true value of the parameter being estimated, whatever the value of the parameter. The authors demonstrate by simulation that some recently proposed methods for interval estimation of the incremental cost-effectiveness ratio (ICER) either do not satisfy this definition or have other problems that limit their usefulness in applications. The problems are most prominent when the ICER is large and the true effectiveness difference is small relative to its standard error. A modification of the percentile bootstrap confidence interval that involves a reordering of the sample space provides a partial solution of the problem.