Performance of reclassification statistics in comparing risk prediction models.
Performance of reclassification statistics in comparing risk prediction models.
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DOI：
10.1002/bimj.201000078
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发表时间：
2011-03
影响因子：
1.7
通讯作者：
Paynter, Nina P.
中科院分区：
文献类型：
--
作者：
Cook, Nancy R.;Paynter, Nina P.
对于使用传统的模型拟合度来评估临床使用的风险预测模型提出了关注，并建议将重新分类表作为评估模型临床实用性的一种替代方法。已经提出了几项基于该表的措施，包括重新分类校准(RC)统计、净重新分类改进(NRI)和综合辨别改进(IDI)，但这些措施在实际环境中的表现尚未得到充分检验。我们使用模拟来估计在许多情况下这些统计数据的I类错误和威力，以及当向已建立的或参考模型添加新标记时类别的数量和类型的影响。在大多数设置中，I类错误被发现是合理的，IDI的功率最高，这类似于关联测试。RC统计量(校准测试)和NRI(鉴别力测试)的相对威力因模型假设而异。这些工具提供独特但互补的信息。
Concerns have been raised about the use of traditional measures of model fit in evaluating risk prediction models for clinical use, and reclassification tables have been suggested as an alternative means of assessing the clinical utility of a model. Several measures based on the table have been proposed, including the reclassification calibration (RC) statistic, the net reclassification improvement (NRI), and the integrated discrimination improvement (IDI), but the performance of these in practical settings has not been fully examined. We used simulations to estimate the type I error and power for these statistics in a number of scenarios, as well as the impact of the number and type of categories, when adding a new marker to an established or reference model. The type I error was found to be reasonable in most settings, and power was highest for the IDI, which was similar to the test of association. The relative power of the RC statistic, a test of calibration, and the NRI, a test of discrimination, varied depending on the model assumptions. These tools provide unique but complementary information.
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DOI：
10.1093/jnci/djq388
发表时间：
2010-11-03
期刊：
Journal of the National Cancer Institute
影响因子：
--
作者：
Mealiffe ME;Stokowski RP;Rhees BK;Prentice RL;Pettinger M;Hinds DA
通讯作者：
Hinds DA
影响因子：
39.2
作者：
Janes H;Pepe MS;Gu W
通讯作者：
Gu W
衡量心血管风险的个体预测因素的影响的进步：重新分类措施的作用。
影响因子：
39.2
作者：
Cook NR;Ridker PM
通讯作者：
Ridker PM
影响因子：
5
作者：
Mihaescu, Raluca;van Zitteren, Moniek;Janssens, A. Cecile J. W.
通讯作者：
Janssens, A. Cecile J. W.
影响因子：
3.6
作者：
MCCLISH, DK
通讯作者：
MCCLISH, DK