Cook Nancy R, Demler Olga V, Paynter Nina P
Harvard Medical School, Brigham & Women's Hospital, Boston, MA, 02215, U.S.A.
Stat Med. 2017 Dec 10;36(28):4498-4502. doi: 10.1002/sim.7340.
Three papers in this issue focus on the role of calibration in model fit statistics, including the net reclassification improvement (NRI) and integrated discrimination improvement (IDI). This commentary reviews the development of such reclassification statistics along with more recent advances in our understanding of these measures. We show how the two-category NRI and the IDI are affected by changes in the event rate in theory and in an applied example. We also describe the role of calibration and how it may be assessed. Finally, we discuss the relevance of the event rate NRI for clinical use. Copyright © 2017 John Wiley & Sons, Ltd.
本期的三篇论文聚焦于校准在模型拟合统计中的作用,包括净重新分类改善(NRI)和综合鉴别改善(IDI)。本述评回顾了此类重新分类统计的发展以及我们对这些指标理解的最新进展。我们展示了理论上和一个应用实例中,两类NRI和IDI如何受到事件发生率变化的影响。我们还描述了校准的作用以及如何对其进行评估。最后,我们讨论了事件发生率NRI在临床应用中的相关性。版权所有© 2017约翰威立父子有限公司。