Revisiting the cumulative incidence function with competing risks data
研究了竞争风险Cox模型中累积发生率函数的三种估计方法，其中新方法保证各事件类型累积发生率之和为1，模拟显示其置信区间覆盖率优于现有方法。
Abstract 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 via simulation, and they are illustrated on data 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 and variance, and better than that of Methods 1 and 2 in terms of confidence interval coverage rates.