Kay R
Rev Epidemiol Sante Publique. 1984;32(3-4):185-98.
The proportional hazards regression model is now used extensively in survival time studies. Although the model (hazard function, lambda (t;x) = lambda 0 (t)e beta' x) can be considered to be partially distribution-free, the following assumptions regarding the distribution of survival time are made: 1. Hazard functions for any two individuals are proportional. Thus (Formula: see text) is independent of t. 2. Independent variables affect the log hazard in an additive way (Formula: see text) This paper reviews methods available for assessing these assumptions in particular cases.
比例风险回归模型目前在生存时间研究中被广泛使用。尽管该模型(风险函数,λ(t;x) = λ0(t)eβ'x)可被认为部分无分布,但关于生存时间的分布做出了以下假设:1. 任意两个个体的风险函数成比例。因此(公式:见原文)与t无关。2. 自变量以相加的方式影响对数风险(公式:见原文)。本文回顾了在特定情况下可用于评估这些假设的方法。