ROC with confidence - a Perl program for receiver operator characteristic curves.
H. Kestler. Computer methods and programs in biomedicine, 64 (2):
133-136(февраля 2001)3744<m:linebreak></m:linebreak>Proves diagnòstiques; ROC.
Аннотация
Receiver operator characteristic (ROC) curves are recommended to assess the diagnostic value of tests depending on a single cut-off value of a continuous variable. These ROC curves show the true-positive rate (sensitivity) against the false-positive rate (1-specificity). It is desirable, especially in situations with small samples of observations, to display confidence bounds of the ROC curve. This paper presents a Perl program which calculates the ROC curve and its distribution-free confidence bounds. A simple user interface also written in Perl permits their display.
%0 Journal Article
%1 Kestler2001
%A Kestler, H A
%D 2001
%J Computer methods and programs in biomedicine
%K ConfidenceIntervals Electrocardiography Electrocardiography:statistics&numericaldata Humans PredictiveValueofTests ROCCurve Software User-ComputerInterface
%N 2
%P 133-136
%T ROC with confidence - a Perl program for receiver operator characteristic curves.
%U http://www.ncbi.nlm.nih.gov/pubmed/11137196
%V 64
%X Receiver operator characteristic (ROC) curves are recommended to assess the diagnostic value of tests depending on a single cut-off value of a continuous variable. These ROC curves show the true-positive rate (sensitivity) against the false-positive rate (1-specificity). It is desirable, especially in situations with small samples of observations, to display confidence bounds of the ROC curve. This paper presents a Perl program which calculates the ROC curve and its distribution-free confidence bounds. A simple user interface also written in Perl permits their display.
@article{Kestler2001,
abstract = {Receiver operator characteristic (ROC) curves are recommended to assess the diagnostic value of tests depending on a single cut-off value of a continuous variable. These ROC curves show the true-positive rate (sensitivity) against the false-positive rate (1-specificity). It is desirable, especially in situations with small samples of observations, to display confidence bounds of the ROC curve. This paper presents a Perl program which calculates the ROC curve and its distribution-free confidence bounds. A simple user interface also written in Perl permits their display.},
added-at = {2023-02-03T11:44:35.000+0100},
author = {Kestler, H A},
biburl = {https://www.bibsonomy.org/bibtex/220d37e7960e03ae3a5acfd1a58a43f0c/jepcastel},
interhash = {86393280702f5f465f79a90ba665258b},
intrahash = {20d37e7960e03ae3a5acfd1a58a43f0c},
issn = {0169-2607},
journal = {Computer methods and programs in biomedicine},
keywords = {ConfidenceIntervals Electrocardiography Electrocardiography:statistics&numericaldata Humans PredictiveValueofTests ROCCurve Software User-ComputerInterface},
month = {2},
note = {3744<m:linebreak></m:linebreak>Proves diagnòstiques; ROC},
number = 2,
pages = {133-136},
pmid = {11137196},
timestamp = {2023-02-03T11:44:35.000+0100},
title = {ROC with confidence - a Perl program for receiver operator characteristic curves.},
url = {http://www.ncbi.nlm.nih.gov/pubmed/11137196},
volume = 64,
year = 2001
}