Rodrigues Josemar, de Castro Mário, Balakrishnan N, Cancho Vicente G
Departamento de Estatística, Universidade Federal de São Carlos, Via Washington Luís, km 235, Caixa Postal 676, São Carlos, SP, 13565-905, Brazil.
Lifetime Data Anal. 2011 Jul;17(3):333-46. doi: 10.1007/s10985-010-9189-2. Epub 2010 Nov 13.
In this paper, we develop a flexible cure rate survival model by assuming the number of competing causes of the event of interest to follow a compound weighted Poisson distribution. This model is more flexible in terms of dispersion than the promotion time cure model. Moreover, it gives an interesting and realistic interpretation of the biological mechanism of the occurrence of event of interest as it includes a destructive process of the initial risk factors in a competitive scenario. In other words, what is recorded is only from the undamaged portion of the original number of risk factors.
在本文中,我们通过假设感兴趣事件的竞争原因数量服从复合加权泊松分布,开发了一种灵活的治愈率生存模型。该模型在离散性方面比促进时间治愈模型更灵活。此外,它对感兴趣事件发生的生物学机制给出了有趣且现实的解释,因为它在竞争场景中包含了初始风险因素的破坏过程。换句话说,所记录的仅来自原始风险因素数量中未受损的部分。