Holford T R
Biometrics. 1976 Sep;32(3):587-97.
A regression model for the analysis of survival data adjusting for concomitant information is developed. The model presented can lead to the log linear exponential model (Glasser [1967]) and the life table regression model of Cox [1972]. In addition, the model described can be used to analyze data from the commonly employed actuarial life table. A discussion of the special case where one is comparing two survival curves is presented. The methods developed are illustrated using data from a clinical trial investigating treatments for lung cancer.
开发了一种用于分析生存数据并对伴随信息进行调整的回归模型。所提出的模型可以导出对数线性指数模型（格拉瑟[1967]）和考克斯[1972]的生命表回归模型。此外，所描述的模型可用于分析常用精算生命表中的数据。给出了比较两条生存曲线这一特殊情况的讨论。使用一项调查肺癌治疗方法的临床试验数据对所开发的方法进行了说明。
