An investigation on measures of explained variation in survival analysis
An investigation on measures of explained variation in survival analysis
复制标题
生存分析中解释变异测量的调查
DOI：
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发表时间：
1995
期刊：
影响因子：
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通讯作者：
M. Schumacher
中科院分区：
文献类型：
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作者：
E. Graf;M. Schumacher
Kom和Simon以及Schemper提出了两种生存数据解释变异的方法。在本文中，我们将展示如何比较这些措施，并找出它们之间的概念差异。两者都比较了协变量被考虑时的方差与忽略协变量时的方差，但只有第二种方法包含了观察结果和拟合结果之间的差异。首先，这两个措施之间的关系进行了研究的情况下，没有审查。事实证明，将被解释的变异视为一个时间过程，在这种情况下以及在其本身的权利上都是有帮助的。这两种措施的审查方式完全不同。我们通过虚构的数据和一项关于乳腺癌治疗的研究来说明这一点。
Two measures of explained variation for survival data have been proposed by Kom and Simon and by Schemper. In this paper, we demonstrate how these measures compare and work out the conceptual differences between them. Both compare the variance when a covariate is accounted for with the variance when it is ignored, but only the second incorporates differences between observed and fitted outcomes. First, the relationship between both measures is studied for the situation without censoring. It turns out that considering the explained variation as a process in time is helpful in this context as well as in its own right. Censoring is incorporated quite differently for the two measures. We illustrate the points made by examples of fictitious data and a study on the treatment of breast cancer.