We propose a new extended regression model based on the logarithm of the generalized odd log-logistic Weibull distribution with four systematic components for the analysis of survival data. This regression model can be very useful and could give more realistic fits than other special regression models. We obtain the maximum likelihood estimates of the model parameters for censored data and address influence diagnostics and residual analysis. We prove empirically the importance of the proposed regression by means of a real data set (survival times of the captive snakes) from a study carried out at the Herpetology Laboratory of the Butantan Institute in São Paulo, Brazil.

中文翻译：

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使用不同的系统组件为生存数据建模非比例风险

我们提出了一个新的扩展回归模型，该模型基于广义奇数对数韦伯分布的对数，具有四个系统组成部分，用于分析生存数据。与其他特殊回归模型相比，该回归模型可能非常有用，并且可以给出更实际的拟合。我们获得了用于审查数据的模型参数的最大似然估计，并解决了影响诊断和残差分析的问题。在巴西圣保罗巴坦坦研究所的爬虫学实验室进行的一项研究中，我们通过真实数据集（圈养蛇的存活时间）以经验证明了拟议回归的重要性。