Buckley-James模型与指数回归模型在生存分析中的应用比较

Comparisons of Buckley-James Model and Exponential Regression Model in Survival Analysis

目的:比较Buckley-James模型(BJ模型)和指数回归模型在生存分析中的应用情况。方法:运用BJ模型和指数回归模型分别对137例肺癌病人进行生存分析。结果:发现BJ模型能够提供主要的预后因素,其结果与特定指数分布回归模型基本一致,使研究者能够较快的获得预后的影响因素。结论:当生存时间的分布未知时,BJ模型为显著性预后因素的获得提供了较有力的依据。

Objective： to compare with Buckley-James model （for short BJ model） and exponential regression model in survival analysis. Methods： BJ model and exponential model are employed to analyze survival data of 137 patients with lung cancer. Result： It showed that main factors affecting prognosis of those patients could be carried out and there is no difference between BJ model and exponential model. Conclusion. when distribution of survival time is unknown, BJ model can still give a strong guidance to pick out significant prognosis factors.