期刊
STATISTICS IN MEDICINE
卷 31, 期 23, 页码 2644-2659出版社
WILEY-BLACKWELL
DOI: 10.1002/sim.5460
关键词
explained randomness; predictive accuracy; survival analysis; Cox proportional hazards model
类别
资金
- London Hub for Trials Methodology Research [MC_US_A737_0002_01]
- Medical Research Council [MC_EX_G0800814] Funding Source: researchfish
- MRC [MC_EX_G0800814] Funding Source: UKRI
Several R2-type measures have been proposed to evaluate the predictive ability of a survival model. In Part I, we classified the measures into four categories and studied the measures in the explained variation category. In this paper, we study the remaining measures in a similar fashion, discussing their strengths and shortcomings. Simulation studies are used to examine the performance of the measures with respect to the criteria we set out in Part I. Our simulation studies showed that among the measures studied in this paper, the measures proposed by Kent and O'Quigley ?W2 (and its approximation ?W,A2) and Schemper and Kaider RSK2 perform better with respect to our criteria. However, our investigations showed that ?W2 is adversely affected by the distribution of covariate and the presence of influential observations. The results show that the other measures perform poorly, primarily because they are affected either by the degree of censoring or the follow-up period. Copyright (C) 2012 John Wiley & Sons, Ltd.
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