论文标题
用于竞争风险数据的半参数转换模型用治愈分数
Semiparametric transformation model for competing risks data with cure fraction
论文作者
论文摘要
我们提出了一种与长期幸存者分析竞争风险数据的新方法。提出的方法使我们能够同时估计总体生存概率和固定分数。我们使用线性转化模型制定了协变量对累积发生率函数的影响。开发了基于计数过程的估计方程以估计回归系数。使用Martingale理论研究了估计量的渐近特性。进行了广泛的蒙特卡洛模拟研究，以评估所提出的估计器的有限样本性能。最后，我们使用真实的数据集说明了我们的方法。
We propose a new method for the analysis of competing risks data with long term survivors. The proposed method enables us to estimate the overall survival probability and cure fraction simultaneously. We formulate the effect of covariates on cumulative incidence functions using linear transformation models. Estimating equations based on counting process are developed to estimate regression coefficients. The asymptotic properties of the estimators are studied using martingale theory. An extensive Monte Carlo simulation study is carried out to assess the finite sample performance of the proposed estimators. Finally, we illustrate our method using a real data set.
