On the optimism correction of the area under the receiver operating characteristic curve in logistic prediction models

Content Provider	Semantic Scholar
Author	Iparragirre, Amaia Barrio, Irantzu Rodríguez-Álvarez, María Xosé
Copyright Year	2019
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.
Starting Page	145
Ending Page	162
Page Count	18
File Format	PDF HTM / HTML
DOI	10.2436/20.8080.02.82
Volume Number	43
Alternate Webpage(s)	https://ddd.uab.cat/pub/sort/sort_a2019m1-6v43n1/sort_a2019m1-6v43n1p145.pdf
Alternate Webpage(s)	https://doi.org/10.2436/20.8080.02.82
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article