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Semiparametric estimation for proportional hazards mixture cure model allowing non-curable competing risk
Journal of Statistical Planning and Inference ( IF 0.9 ) Pub Date : 2021-03-01 , DOI: 10.1016/j.jspi.2020.06.009
Yijun Wang , Jiajia Zhang , Chao Cai , Wenbin Lu , Yincai Tang

Abstract With advancements in medical research, broader range of diseases may be curable, which indicates some patients may not die owing to the disease of interest. The mixture cure model, which can capture patients being cured, has received an increasing attention in practice. However, the existing mixture cure models only focus on major events with potential cures while ignoring the potential risks posed by other non-curable competing events, which are commonly observed in the real world. The main purpose of this article is to propose a new mixture cure model allowing non-curable competing risk. A semiparametric estimation method is developed via an EM algorithm, the asymptotic properties of parametric estimators are provided and its performance is demonstrated through comprehensive simulation studies. Finally, the proposed method is applied to a prostate cancer clinical trial dataset.

中文翻译:

允许不可治愈的竞争风险的比例风险混合治愈模型的半参数估计

摘要 随着医学研究的进步,更广泛的疾病可能是可以治愈的,这表明一些患者可能不会因为感兴趣的疾病而死亡。可以捕捉治愈患者的混合治愈模型在实践中受到越来越多的关注。然而,现有的混合治愈模型只关注具有潜在治愈潜力的重大事件,而忽略了现实世界中常见的其他不可治愈的竞争事件所带来的潜在风险。本文的主要目的是提出一种新的混合固化模型,允许不可固化的竞争风险。通过EM算法开发了一种半参数估计方法,提供了参数估计量的渐近性质,并通过综合仿真研究证明了其性能。最后,
更新日期:2021-03-01
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