Average cost-effectiveness ratio with censored data.

Average cost-effectiveness ratio with censored data.
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DOI:
10.1080/10543406.2010.544437
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发表时间:
2012
影响因子:
1.1
通讯作者:
Zhao H
Zhao H
中科院分区:
医学4区
文献类型:
--
作者:
Bang H;Zhao H

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在成本效益分析中,人们最感兴趣的可能是增量成本效益比(ICER),即两种相互竞争的干预措施的增量成本与增量收益的比率。平均成本效益比(ACER)是指在不参考比较对象的情况下,干预措施的成本与收益的比率。有大量文献可用于ICER的统计推断,但针对AC-ER制定的方法有限,特别是在存在审查的情况下。审查是前瞻性研究的一个共同特征,有效的分析应该根据审查的成本和有效性进行适当的调整。在这篇文章中,我们提出了从删失数据中构造宏集的置信度区间的统计方法。提出了不同的方法--Fieller、Taylor、Bootstrap,并通过仿真研究和数据分析,研究了这些方法的性能特点。
In the cost-effectiveness analysis, interest could lie foremost in the incremental cost-effectiveness ratio (ICER) which is the ratio of the incremental cost to the incremental benefit of two competing interventions. The average cost-effectiveness ratio (ACER) is the ratio of the cost to benefit of an intervention without reference to a comparator. A vast literature is available for statistical inference of the ICERs, but limited methods have been developed for the AC-ERs, particularly in the presence of censoring. Censoring is a common feature in prospective studies and valid analyses should properly adjust for censoring in cost as well as in effectiveness. In this paper, we propose statistical methods for constructing a confidence interval for the ACER from censored data. Different methods - Fieller, Taylor, Bootstrap - are proposed and through simulation studies and data analysis, we address the performance characteristics of these methods.
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