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

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.Peer Reviewe

Eredu aurresaleen balidazio tekniken konparaketa eta inplementazioa

Gaur egun, eredu aurresaleak gero eta indar handiagoa hartzen ari dira. Etorkizuneko egoerak aurresan ahal izateko erabiltzen dira, eta adituei egoera horiek kontuan izanda, hartu beharreko neurriak hartzen laguntzeko balio diete. Esaterako, medikuntzan eredu mota hauek asko erabiltzen dira, eta medikuei gaixoen egoera, epe batean, nolakoa izango den aurreikusten laguntzen diete. Hortaz, duten garrantzia ikusita, esan beharrik ez dago behar-beharrezkoa dela eredu aurresaleak dagarriak izatea eta aurresaten dutenaren eta benetan gertatuko denaren artean ahalik eta ezberdintasun gutxien egotea. Horretarako, ereduen balidazioa egiten da

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

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

Eredu aurresaleen balidazio tekniken konparaketa eta inplementazioa

Gaur egun, eredu aurresaleak gero eta indar handiagoa hartzen ari dira. Etorkizuneko egoerak aurresan ahal izateko erabiltzen dira, eta adituei egoera horiek kontuan izanda, hartu beharreko neurriak hartzen laguntzeko balio diete. Esaterako, medikuntzan eredu mota hauek asko erabiltzen dira, eta medikuei gaixoen egoera, epe batean, nolakoa izango den aurreikusten laguntzen diete. Hortaz, duten garrantzia ikusita, esan beharrik ez dago behar-beharrezkoa dela eredu aurresaleak dagarriak izatea eta aurresaten dutenaren eta benetan gertatuko denaren artean ahalik eta ezberdintasun gutxien egotea. Horretarako, ereduen balidazioa egiten da

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

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.Peer Reviewe

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

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