Shen Y, Cheng S C
Department of Biomathematics, M. D. Anderson Cancer Center, University of Texas, Houston 77030, USA.
Biometrics. 1999 Dec;55(4):1093-100. doi: 10.1111/j.0006-341x.1999.01093.x.
In the context of competing risks, the cumulative incidence function is often used to summarize the cause-specific failure-time data. As an alternative to the proportional hazards model, the additive risk model is used to investigate covariate effects by specifying that the subject-specific hazard function is the sum of a baseline hazard function and a regression function of covariates. Based on such a formulation, we present an approach to constructing simultaneous confidence intervals for the cause-specific cumulative incidence function of patients with given risk factors. A melanoma data set is used for the purpose of illustration.
在竞争风险的背景下,累积发病率函数常被用于总结特定病因的失效时间数据。作为比例风险模型的替代方法,加法风险模型通过指定个体特定的风险函数是基线风险函数和协变量回归函数之和,来研究协变量的影响。基于这样的公式,我们提出了一种为具有给定风险因素的患者的特定病因累积发病率函数构建同时置信区间的方法。为了说明这一点,使用了一个黑色素瘤数据集。