Using the GLM Approach for Comparing ROC Curves
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F13%3A00072865" target="_blank" >RIV/00216224:14310/13:00072865 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Using the GLM Approach for Comparing ROC Curves
Original language description
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, thereare 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
12th International Conference on Applied Mathematics APLIMAT 2013
ISBN
9788022738651
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
"P27"
Publisher name
Slovenská technická univerzita Bratislava
Place of publication
Bratislava
Event location
Bratislava
Event date
Feb 5, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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