Time related receiver operation characteristic curves and its application in clinical trials and diagnostic analysis

VernacularTitle:时间相关受试者工作特征曲线及其在临床试验诊断分析中的应用
Author: Yanyan ZHAO ¹ ; Wei ZHAO ; Ziyue WANG ; Wei LI ; Yang WANG
Author Information

1. 国家心血管病中心医学统计部
Keywords: Receiver operation characteristic curves; Time related receiver operation characteristic curves; Diagnostic capacity
From: Chinese Journal of Epidemiology 2016;37(6):891-894
CountryChina
Language:Chinese
Abstract: By using R language to deal with practical problems,we introduce two methods of obtaining time related receiver operation characteristic [ROC(t)] curves from survival data:1) nearestneighbor estimator of bivariate distribution (NNE) estimation:to obtain cumulative/dynamic ROCC/D(t) curves;2) Cox estimation:to obtain incident/dynamic ROCI/D (t) curves.The areas under the ROC(t) curves (AUC) obtained from the two methods fluctuate over time.The one obtained through NNE has bigger fluctuation than that obtained through Cox,while the mean of AUC of the two methods are similar.Time related ROC (t) can be effectively used to evaluate the diagnostic capacity of the marker in clinical trials,and help to select the best diagnostic time of the marker.According to the different scientific interests,researchers should select relevant methods for more accurate evaluation.