Construction of a Survival Tree for Dependent Censoring
Construction of a Survival Tree for Dependent Censoring
复制标题
构建用于依赖审查的生存树
DOI：
10.1080/10543406.2020.1792478
复制
发表时间：
2021
影响因子：
1.1
通讯作者：
Etsuo Miyaoka
中科院分区：
文献类型：
--
作者：
Asanao Shimokawa;Etsuo Miyaoka
在这项研究中，我们研究了考虑相关删失的时间-事件数据模型的构建问题。我们的目标是构建一组协变量空间的子组，其中每个元素具有相同的故障模型，考虑到故障和删失时间的依赖性。因此，基于截尾的可识别性问题的参数形式构建了模型。我们使用Copula来表示故障和删失时间之间的依赖关系。在假设失效次数和截尾次数为参数模型，Copula函数为未知参数的条件下，提出了一种通过检验统计量构造树型结构模型的方法。随后，我们评估了使用所提出的方法得到的分裂规则和树的性能，并将其与一般的方法，假设独立审查通过模拟研究。最后，我们将分析结果应用于艾滋病的临床试验研究，以说明该方法的实用性。
In this study, we examined the problem of constructing a model for time-to-event data considering dependent censoring. Our goal was to construct a set of subgroups of covariate space, wherein each element had the same failure model considering the dependency of failure and censoring times. As such, a model was constructed based on the parametric form from the identifiability problem of censoring. We used the copula to represent the dependency between failure and censoring times. Under the assumption of parametric models for failure and censoring times and a copula function, which have unknown parameters, we proposed a method for constructing the tree-structured model through the test statistics. We subsequently evaluated the performance of the splitting rule and tree obtained using the proposed method and compared it with the general method that assumes independent censoring through simulation studies. We also present the analysis results for AIDS clinical trial research to show the utility of the method.