论文标题
半摩托混合物估算的预定方法
A presmoothing approach for estimation in semiparametric mixture cure models
论文作者
论文摘要
处理生存分析数据时，一个挑战是治愈的分数，这意味着某些受试者永远不会遇到感兴趣的事件。通常通过假设发病率的参数（Logistic）形式来估算固化概率和易感受试者的事件的概率和事件的时间。我们为参数固化速率提出了一个新的估计过程，该估计速率依赖于初步平滑估计器，并且与延迟假定的模型无关。我们研究了估计器的理论特性，并通过模拟显示，与最大似然估计器相比，在逻辑/COX模型中，预定的会导致更准确的结果。为了说明实际用途，我们将新的估计程序应用于黑色素瘤生存数据的两项研究。
A challenge when dealing with survival analysis data is accounting for a cure fraction, meaning that some subjects will never experience the event of interest. Mixture cure models have been frequently used to estimate both the probability of being cured and the time to event for the susceptible subjects, by usually assuming a parametric (logistic) form of the incidence. We propose a new estimation procedure for a parametric cure rate that relies on a preliminary smooth estimator and is independent of the model assumed for the latency. We investigate the theoretical properties of the estimators and show through simulations that, in the logistic/Cox model, presmoothing leads to more accurate results compared to the maximum likelihood estimator. To illustrate the practical use, we apply the new estimation procedure to two studies of melanoma survival data.
