Semiparametric receiver operating characteristic analysis to evaluate biomarkers for disease

• 成果类型: Article
• 署名作者: Cai, TX; Pepe, MS
• 署名单位: University of Washington; University of Washington Seattle
• 刊物名称: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
• ISSN/ISSBN: 0162-1459
• DOI: 10.1198/016214502388618915
• 发表日期: 2002
• 页码: 1099-1107
• 关键词: characteristic curves; roc methodology

摘要

The receiver operating characteristic (ROC) curve is a popular method for characterizing the accuracy of diagnostic tests when test results are not binary. Various methodologies for estimating and comparing ROC curves have been developed. One approach, due to Pepe, uses a parametric, regression model ROCx(u) = g(h(0)(u) +0(0)'x) with the baseline function h(0)(u) specified up to a finite-dimensional parameter. In this article we extend the regression models by allowing arbitrary nonparametric baseline functions. We also provide asymptotic distribution theory and procedures for making statistical inference. We illustrate our approach with dataset from a prostate cancer biomarker study. Simulation studies suggest that the extra flexibility inherent in the semiparametric method is gained with little loss in statistical efficiency.