期刊
BIOSTATISTICS
卷 4, 期 4, 页码 523-538出版社
OXFORD UNIV PRESS
DOI: 10.1093/biostatistics/4.4.523
关键词
AUC; classification; logic regression; ROC
资金
- NCI NIH HHS [R29 CA74841, CA42182, CA57374, CA58684, P01 CA53996, R29 CA70227] Funding Source: Medline
- NIGMS NIH HHS [R01 GM54438] Funding Source: Medline
In early detection of disease, combinations of biomarkers promise improved discrimination over diagnostic tests based on single markers. An example of this is in prostate cancer screening, where additional markers have been sought to improve the specificity of the conventional Prostate- Specific Antigen (PSA) test. A marker of particular interest is the percent free PSA. Studies evaluating the benefits of percent free PSA reflect the need for a methodological approach that is statistically valid and useful in the clinical setting. This article presents methods that address this need. We focus on and-or combinations of biomarker results that we call logic rules and present novel definitions for the ROC curve and the area under the curve (AUC) that are applicable to this class of combination tests. Our estimates of the ROC and AUC are amenable to statistical inference including comparisons of tests and regression analysis. The methods are applied to data on free and total PSA levels among prostate cancer cases and matched controls enrolled in the Physicians' Health Study.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据