Comparison of semiparametric, parametric, and nonparametric ROC analysis for continuous diagnostic tests using a simulation study and acute coronary syndrome data

DOI10.1155/2012/698320zbMath1401.92101OpenAlexW2155519401WikidataQ34356329 ScholiaQ34356329MaRDI QIDQ454718

Bulent Gok, Fezan Mutlu, Kazim Ozdamar, Ertugrul Colak, Cengiz Bal, Setenay Oner, Yuksel Cavusoglu

Publication date: 10 October 2012

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2012/698320

zbMATH Keywords

parametric analysissemiparametric analysisdiagnostic testnonparametric analysiscute coronary syndrome

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

Related Items (1)

REVIEW AND LIMITATIONS OF METHODS FOR CONSTRUCTING A RECEIVER OPERATING CHARACTERISTIC CURVE IN A CASE-CONTROL DESIGN

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• Semi-parametric estimation of the binormal ROC curve for a continuous diagnostic test
• Distribution-free ROC analysis using binary regression techniques

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