Witten M
University of Texas System, Center for High Performance Computing, Balcones Research Center, Austin 78753-4497.
Mech Ageing Dev. 1994 Mar;73(3):223-48. doi: 10.1016/0047-6374(94)90054-x.
Biogerontological survival analysis attempts to understand, through the use of mathematical and computer models, how biological and environmental processes affect the dynamics of survival. The survival model parameters are assumed to reflect an average or mean response to some intervention. Further, these parameters are usually assumed to be constant over the time course of the experiment and across the elements of the experimental cohort. In this paper, we introduce stochastic (random) features to the survival curve parameters and we observe how this might affect our interpretation of the biology; as reflected in the estimates of the model parameters. In particular, we provide a possible explanation for variation in parameter estimates within sample populations drawn from a population of genetic clones.
生物老年学生存分析试图通过使用数学和计算机模型来理解生物和环境过程如何影响生存动态。生存模型参数被假定反映对某种干预的平均或均值反应。此外,通常假定这些参数在实验的时间过程中以及在实验队列的各个元素之间是恒定的。在本文中,我们将随机(随机)特征引入生存曲线参数,并观察这可能如何影响我们对生物学的解释;如在模型参数估计中所反映的那样。特别是,我们为从遗传克隆群体中抽取的样本群体内参数估计的变化提供了一种可能的解释。