Prediction of cumulative incidence function under the proportional hazards model
Prediction of cumulative incidence function under the proportional hazards model
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DOI：
10.2307/2534009
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发表时间：
1998-03-01
期刊：
影响因子：
1.9
通讯作者：
Wei, LJ
中科院分区：
文献类型：
--
作者：
Cheng, SC;Fine, JP;Wei, LJ
在生存分析中存在依赖竞争风险的情况下，Cox模型可用于检验对失败类型的原因特异性风险函数的协变量影响。对于这种情况，累积关联函数为该特定事件的边际概率提供了直观吸引人的汇总曲线。在本文中，我们展示了如何在Cox模型下为具有一定协变量的未来患者构建这样的函数的置信区间和频带。我们的建议用一项前列腺癌试验的数据来说明。
In the presence of dependent competing risks in survival analysis, the Cox model can be utilized to examine the covariate effects on the cause-specific hazard function for the failure type of interest. For this situation, the cumulative incidence function provides an intuitively appealing summary curve for marginal probabilities of this particular event. In this paper, we show how to construct confidence intervals and bands for such a function under the Cox model for future patients with certain covariates. Our proposals are illustrated with data from a prostate cancer trial.