Department of Mathematics and Statistics, Georgia State University, Atlanta, GA 30303, USA.
Comput Methods Programs Biomed. 2012 Oct;108(1):310-7. doi: 10.1016/j.cmpb.2012.01.003. Epub 2012 Feb 25.
Aalen's additive model defines the covariate effects on the survival outcome to be time-varying. The aim of this paper is to explore the application of Aalen's model in assessing treatment effects, adjusting for possibly different patient profiles between the treatment groups. We treat Aalen's model as the underlying model and compute the direct adjusted survival curves for different treatments. The treatment comparison can be performed by finding a confidence interval for the difference between two direct adjusted survivals. We developed a SAS macro that calculates the direct adjusted survival estimates and the standard errors, based on Aalen's model. In this paper, we give two examples to explain the syntax for using the macro.
艾伦加法模型定义了生存结果的协变量效应随时间变化。本文旨在探讨艾伦模型在评估治疗效果中的应用，同时调整治疗组之间可能存在的不同患者特征。我们将艾伦模型视为基本模型，并为不同的治疗方法计算直接调整后的生存曲线。可以通过找到两个直接调整后的生存差异的置信区间来进行治疗比较。我们开发了一个基于艾伦模型的 SAS 宏，用于计算直接调整后的生存估计值和标准误差。本文通过两个示例说明使用宏的语法。
