Statistical Inference for the Area under the Receiver Operating Characteristic Curve in the Presence of Random Measurement Error | Zendy

Enrique F. Schisterman | Zendy

Open Access

Statistical Inference for the Area under the Receiver Operating Characteristic Curve in the Presence of Random Measurement Error

Author(s) -

Enrique F. Schisterman

Publication year - 2001

Publication title -

american journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.33

H-Index - 256

eISSN - 1476-6256

pISSN - 0002-9262

DOI - 10.1093/aje/154.2.174

Subject(s) - receiver operating characteristic , confidence interval , observational error , statistics , reliability (semiconductor) , normality , measure (data warehouse) , inference , computer science , statistical inference , coverage probability , interval (graph theory) , mathematics , data mining , artificial intelligence , power (physics) , physics , quantum mechanics , combinatorics

The area under the receiver operating characteristic curve is the most commonly used measure of the ability of a biomarker to distinguish between two populations. Some markers are subject to substantial measurement error. Under normality assumptions, the authors develop a confidence interval procedure for the area under the receiver operating characteristic curve that adjusts for measurement error. This procedure assumes the availability of data from a reliability study of the biomarker. A simulation study was used to check the validity of the proposed confidence interval. Furthermore, it was shown that not adjusting for measurement error could result in a serious understatement of the effectiveness of the biomarker.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research