dc.contributor.author
Iparragirre, Amaia
dc.contributor.author
Barrio Beraza, Irantzu
dc.contributor.author
Rodríguez-Álvarez, María Xosé
dc.identifier
https://ddd.uab.cat/record/205824
dc.identifier
urn:10.2436/20.8080.02.82
dc.identifier
urn:oai:ddd.uab.cat:205824
dc.identifier
urn:oai:raco.cat:article/356185
dc.identifier
urn:wos_id:000470994900007
dc.identifier
urn:scopus_id:85071224289
dc.identifier
urn:articleid:20138830v43n1p145
dc.description.abstract
When the same data are used to fit a model and estimate its predictive performance, this estimate may be optimistic, and its correction is required. The aim of this work is to compare the behaviour of different methods proposed in the literature when correcting for the optimism of the estimated area under the receiver operating characteristic curve in logistic regression models. A simulation study (where the theoretical model is known) is conducted considering different number of covariates, sample size, prevalence and correlation among covariates. The results suggest the use of k-fold cross-validation with replication and bootstrap.
dc.format
application/pdf
dc.relation
SORT : statistics and operations research transactions ; Vol. 43 Núm. 1 (January-June 2019), p. 145-162
dc.rights
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
dc.rights
https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject
Prediction models
dc.subject
Logistic regression
dc.subject
Area under the receiver operating characteristic curve
dc.title
On the optimism correction of the area under the receiver operating characteristic curve in logistic prediction models
