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Modeling heterogeneity for bivariate survival data by the Weibull distribution

机译:通过Weibull分布为双变量生存数据建模异质性

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We propose bivariate Weibull regression model with heterogeneity (frailty or random effect) which is generated by Weibull distribution. We assume that the bivariate survival data follow bivariate Weibull of Hanagal (Econ Qual Control 19:83–90, 2004). There are some interesting situations like survival times in genetic epidemiology, dental implants of patients and twin births (both monozygotic and dizygotic) where genetic behavior (which is unknown and random) of patients follows a known frailty distribution. These are the situations which motivate to study this particular model. We propose two-stage maximum likelihood estimation for hierarchical likelihood in the proposed model. We present a small simulation study to compare these estimates with the true value of the parameters and it is observed that these estimates are very close to the true values of the parameters.
机译:我们提出了具有Weibull分布生成的具有异质性(脆弱或随机效应)的双变量Weibull回归模型。我们假设双变量生存数据遵循Hanagal的双变量Weibull(Econ Qual Control 19:83–90,2004)。有一些有趣的情况,例如遗传流行病学中的生存时间,患者的牙齿植入物和双胎(单卵和双卵),其中患者的遗传行为(未知和随机)遵循已知的脆弱分布。这些情况促使人们研究此特定模型。我们在所提出的模型中为分层似然提出了两阶段最大似然估计。我们提供了一个小型仿真研究,以将这些估计值与参数的真实值进行比较,并观察到这些估计值与参数的真实值非常接近。

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