At present, the multivariate analysis for survival data is still Cox’s proportional hazards regression model.
目前对生存资料的多因素分析最常用的方法仍然是Cox比例风险回归模型。
参考来源 - Cox比例风险回归模型诊断及预测有关问题的研究·2,447,543篇论文数据,部分数据来源于NoteExpress
Survival data alone, though, fail to answer a basic question: “compared with what?”
尽管如此,仅凭生存期的统计数据是无法回答这样一个基本问题的:“与什么相比?”
Objective To introduce the use of semiparametric cure models for the analysis of survival data with long-term survivors.
目的介绍长期生存者资料生存分析模型与方法。
Discrete-time survival model is appropriate as survival data are discrete, tied and some effects for covariates are added.
当生命数据是离散的、未删失数据含有打结的和有协变量信息时,离散生存分析模型是适当的选择。
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