In many circumstances, the increase in life expectancy when certain causes of death are eliminated is sought. These calculations are typically based on the assumption that the causes in question are simply omitted, which is equivalent to the causes being taken out of consideration, from the outset, with certainty. In this paper, we propose models whereby probability distributions for the cures of specific causes of death over time can be incorporated so as to more accurately predict the increase in life expectancy that would ensue. The theoretical results are applied to a real data set involving Diabetes and HIV-related deaths from Denver, Colorado, United States of America, between the years 1990 and 2015 inclusive.

中文翻译：

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延长多种固化剂的预期寿命

在许多情况下，寻求消除某些死亡原因时的预期寿命增加。这些计算通常基于这样的假设，即简单地忽略了所讨论的原因，这从一开始就确定地等同于考虑的原因。在本文中，我们提出了一些模型，通过这些模型可以合并特定原因的治疗方法随时间的分布，以便更准确地预测预期寿命的增加。将理论结果应用于真实数据集，该数据集涉及1990年至2015年（含）之间美国科罗拉多州丹佛市的糖尿病和与HIV相关的死亡。