Cheng S C, Fine J P, Wei L J
Department of Biomathematics, M. D. Anderson Cancer Center, University of Texas, Houston 77030, USA.
Biometrics. 1998 Mar;54(1):219-28.
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.
在生存分析中存在相依竞争风险的情况下，Cox模型可用于检验协变量对感兴趣的失败类型的特定病因风险函数的影响。对于这种情况，累积发病率函数为该特定事件的边际概率提供了一条直观吸引人的汇总曲线。在本文中，我们展示了如何在Cox模型下为具有特定协变量的未来患者构建该函数的置信区间和置信带。我们的方法通过一项前列腺癌试验的数据进行了说明。
