论文标题
通过竞争风险数据重新访问累积发病率功能
Revisiting the Cumulative Incidence Function With Competing Risks Data
论文作者
论文摘要
我们考虑对竞争风险COX模型中累积发病率函数（CIF）的估计。我们研究三种方法。方法1和2是现有方法，而方法3是一种新提出的方法。构建方法3，以便在最后观察到的事件时间的所有事件类型中的CIF总和可以保证，假设没有关系等于1。新提出的方法3在偏见，方差和置信区间覆盖率方面表现出与方法1和2的性能相当。因此，借助我们新提出的估计器，获得等于1的研究结束总CIF的优势是实现的，而无需支付绩效的价格。
We consider estimation of the cumulative incidence function (CIF) in the competing risks Cox model. We study three methods. Methods 1 and 2 are existing methods while Method 3 is a newly-proposed method. Method 3 is constructed so that the sum of the CIF's across all event types at the last observed event time is guaranteed, assuming no ties, to be equal to 1. The performance of the methods is examined in a simulation study, and the methods are illustrated on a data example from the field of computer code comprehension. The newly-proposed Method 3 exhibits performance comparable to that of Methods 1 and 2 in terms of bias, variance, and confidence interval coverage rates. Thus, with our newly-proposed estimator, the advantage of having the end-of-study total CIF equal to 1 is achieved with no price to be paid in terms of performance.
