Effects of frailty in survival analysis.
Effects of frailty in survival analysis.
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DOI：
10.1177/096228029400300303
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发表时间：
1994-01-01
影响因子：
2.3
通讯作者：
Aalen, O O
中科院分区：
文献类型：
--
作者：
Aalen, O O
未观察到的个体异质性，也称为脆弱性，是生存分析应用中的一个主要问题。风险率并不能直接说明个体风险随时间的变化，但会受到群体中选择效应的强烈影响。平均而言，存活到一定时间的个体将比原始种群更不脆弱。模型进行审查，占这种现象，并讨论了一些医疗的例子。它强调，脆弱现象可以模拟在许多不同的方式，和随机过程的方法进行了讨论，作为一种替代常见的比例脆弱模型。
Unobserved individual heterogeneity, also called frailty, is a major concern in the application of survival analysis. Hazard rates do not give direct information on the change over time in the individual risk, but are strongly influenced by selection effects operating in the population. The individuals surviving up to a certain time will on average be less frail than the original population. Models are reviewed that account for this phenomenon, and some medical examples are discussed. It is emphasized that the frailty phenomenon may be modelled in many different ways, and a stochastic process approach is discussed as an alternative to the common proportional frailty model.