Analysis of transplant urgency and benefit via multiple imputation
Analysis of transplant urgency and benefit via multiple imputation
复制标题
通过多重插补分析移植紧迫性和获益
DOI：
10.1002/sim.6250
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发表时间：
2014
影响因子：
2
通讯作者：
Xiaohong Liu
中科院分区：
文献类型：
--
作者：
Fang Xiang;S. Murray;Xiaohong Liu
对于急需移植的肺部候选人来说，错过(审查)死亡时间是分配政策制定者成功的标志。然而，分析这些数据的统计学家必须适当地解释依赖审查，因为最严重的患者被从等待名单中删除。多重推算允许创建完整的数据集，这些数据集可用于此设置中的各种标准分析。我们提出了一种方法来乘以肺部候选结果，该方法结合了(I)预测从等待名单中移除的时变因素和(Ii)通过受限均值模型估计移植的紧迫性。在美国肺分配评分模型的背景下，讨论了移植的紧迫性和个体患者概况的益处的测量方法。还提供了在移植未发生的情况下的边际生存估计。仿真结果表明，与已有方法相比，该方法具有更好的效果。版权所有©2014 John Wiley&Sons，Ltd.
Missing (censored) death times for lung candidates in urgent need of transplant are a signpost of success for allocation policy makers. However, statisticians analyzing these data must properly account for dependent censoring as the sickest patients are removed from the waitlist. Multiple imputation allows the creation of complete data sets that can be used for a variety of standard analyses in this setting. We propose an approach to multiply impute lung candidate outcomes that incorporates (i) time‐varying factors predicting removal from the waitlist and (ii) estimates of transplant urgency via restricted mean models. The measures of transplant urgency and benefit for individual patient profiles are discussed in the context of lung allocation score modeling in the USA. Marginal survival estimates in the event that a transplant does not occur are also provided. Simulations suggest that the proposed imputation method gives attractive results when compared with existing methods. Copyright © 2014 John Wiley & Sons, Ltd.
DOI：
--
发表时间：
1972
期刊：
--
影响因子：
--
作者：
D. Cox
通讯作者：
D. Cox
影响因子：
1.9
作者：
WEI, GCG;TANNER, MA
通讯作者：
TANNER, MA