Tobit回归模型研究的是 观察数据集的某些指标对于某些个体被删失(Censored)的回归问题。这种删失不是对 观察个数(观察序列)的删失,而是对因变量观察值数量界限的删失。
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...示low=0时是对照,病例相当于生存分析(详情请参见第5篇)中的“死亡”,而对照则相当于“存活或失访”,称为截尾或删失(Censoring),用PHREG过程时必须指出代表删失的变量及其标志,见MODEL语句的等号左边。
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The survival analysis is a statistical method, based on the censored data. The data used in the survival analysis includes the survival time and all kinds of the related factors.
生存分析是以删失数据为研究对象的统计方法,数据结构主要包含生存时间以及与其相关的各种因素。
参考来源 - 中国ST企业的生存分析·2,447,543篇论文数据,部分数据来源于NoteExpress
但计算很是困难,原因就是删失数据后样本的似然函数的形式很复杂。
But it was difficult to calculate, because censored data in the form of samples of the likelihood function is very complex.
传统的乘积限估计法只能处理寿终数据和右删失数据,对左截断数据则无能为力。
The traditional product limit estimation method can only deal with complete data and right censored data, but can not deal with left truncated data.
采用逆概率删失加权分析(IPCW)模型以更好地评估转换治疗的相对治疗效果。
To gain better estimates of relative treatment effects in the presence of selective crossover, we used inverse probability of censoring weighted (IPCW) modeling.
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