Abstract

The accelerated failure time model is an alternative method to deal with survival data if the proportional hazard model fails to capture the relationship between the hazard time and covariates. That is, the proportionality assumption is not suitable to analyze survival data. In this paper, we address the issue that the relationship between the hazard time and the main effect with unrecognized heterogeneity which interacts with main effect is satisfied with the accelerated failure time model to design a trial. The test statistic for the main effect is used to determine the total sample size for a trial and the proposed criteria are used to rationalize partition sample size.

摘要

如果比例风险模型无法捕获风险时间和协变量之间的关系，则加速故障时间模型是处理生存数据的替代方法。也就是说，比例假设不适合分析生存数据。在本文中，我们解决了危险时间与主效应之间的关系以及与主效应相互作用的未被识别的异质性满足加速故障时间模型设计试验的问题。主效应的检验统计量用于确定试验的总样本量，建议的标准用于合理化分区样本量。