Faraggi David, Reiser Benjamin, Schisterman Enrique F
Department of Statistics, University of Haifa, Haifa, Israel.
Stat Med. 2003 Aug 15;22(15):2515-27. doi: 10.1002/sim.1418.
Interleukin-6 is a biomarker of inflammation which has been suggested as having potential discriminatory ability for myocardial infarction. Because of its high assaying cost it is very expensive to evaluate this marker. In order to reduce this cost we propose pooling the specimens. In this paper we examine the efficiency of ROC curve analysis, specifically the estimation of the area under the ROC curve, when dealing with pooled data. We study the effect of pooling when there are only a fixed number of individuals available for testing and pooling is carried out to save on the number of assays. Alternatively we examine how many pooled assays of size g are necessary to provide essentially the same information as N individual assays. We measure loss of information by means of the change in root mean square error of the estimate of the area under the ROC curve and study the extent of this loss via a simulation study.
白细胞介素-6是一种炎症生物标志物，有人认为它对心肌梗死具有潜在的鉴别能力。由于其检测成本高昂，评估该标志物的费用非常昂贵。为了降低成本，我们建议对样本进行合并。在本文中，我们研究了在处理合并数据时ROC曲线分析的效率，特别是ROC曲线下面积的估计。我们研究了在只有固定数量的个体可供检测且进行合并以节省检测次数的情况下合并的效果。或者，我们研究需要进行多少次大小为g的合并检测才能提供与N次个体检测基本相同的信息。我们通过ROC曲线下面积估计值的均方根误差变化来衡量信息损失，并通过模拟研究来考察这种损失的程度。
