Using the GLM Approach for Comparing ROC Curves

FORBELSKÁ, Marie. Using the GLM Approach for Comparing ROC Curves. In Dagmar Szarková. 12th International Conference on Applied Mathematics APLIMAT 2013. Bratislava: Slovenská technická univerzita Bratislava, 2013, p. P27, 8 pp. ISBN 978-80-227-3865-1.

Basic information

Original name

Using the GLM Approach for Comparing ROC Curves

Authors

FORBELSKÁ, Marie (203 Czech Republic, guarantor, belonging to the institution)

Edition

Bratislava, 12th International Conference on Applied Mathematics APLIMAT 2013, p. P27, 8 pp. 2013

Publisher

Slovenská technická univerzita Bratislava

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Other information

Language

English

Type of outcome

Proceedings paper

Field of Study

10103 Statistics and probability

Country of publisher

Slovakia

Confidentiality degree

is not subject to a state or trade secret

Publication form

storage medium (CD, DVD, flash disk)

RIV identification code

RIV/00216224:14310/13:00072865

Organization unit

Faculty of Science

ISBN

978-80-227-3865-1

Keywords (in Czech)

ROC křivka; parametrický a semiparametrický model; bi--ECD model

Keywords in English

ROC curve; covariates; parametric model; semiparametric model; bi--distributional model; bi--ECD model

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Abstract

In the original language

A well accepted measure of accuracy for diagnostic test is the Receiver Operating Characteristic (ROC) curve. Within the generalized linear model (GLM) binary regression framework, ROC curves can be estimated. In studies of classification accuracy, there are often covariates that should be incorporated into the ROC analysis. One nice feature of ROC-GLM method is that it can be easily extended to adjust covariate effects.