MEASURES OF EXPLAINED VARIATION FOR SURVIVAL-DATA
MEASURES OF EXPLAINED VARIATION FOR SURVIVAL-DATA
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DOI：
10.1002/sim.4780090503
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发表时间：
1990-05-01
影响因子：
2
通讯作者：
SIMON, R
中科院分区：
文献类型：
--
作者：
KORN, EL;SIMON, R
生存时间模型中一组预后变量的预测能力是一个与变量的统计学显著性或模型拟合充分性不同的概念。在本文中，我们讨论了量化预测模型的预测能力的重要性，并建议作为一种可能的量化解释变异的措施。我们的方法的重要特征是：（1）测量是完全基于模型的;（2）很容易纳入感兴趣的时间范围的规范;（3）用于比较的空模型是作为预测分布的混合物导出的。
The predictive power of a set of prognostic variables in a survival time model is a concept distinct from the statistical significance of the variables or the adequacy of the model fit. In this paper we discuss the importance of quantifying the predictive power of a prognostic model, and suggest measures of explained variation as a possible quantification. The important features of our approach are that (1) the measures are completely model-based; (2) a specification of the time range of interest is easily incorporated; and (3) the null models used for comparison are derived as mixtures of the predicted distributions.