Results overview: Found 5 records in 0.02 seconds.
Articles, 5 records found
Articles 5 records found  
1.
18 p, 391.2 KB On the optimism correction of the area under the receiver operating characteristic curve in logistic prediction models / Iparragirre, Amaia (Universidad del País Vasco. Departamento de Matemática Aplicada, Estadística e Investigación Operativa) ; Barrio Beraza, Irantzu (Universidad del País Vasco. Departamento de Matemática Aplicada, Estadística e Investigación Operativa) ; Rodríguez-Álvarez, María Xosé (BCAM-Basque Center for Applied Mathematics (Bilbao, País Basc))
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. [...]
2019 - 10.2436/20.8080.02.82
SORT : statistics and operations research transactions, Vol. 43 Núm. 1 (January-June 2019) , p. 145-162 (Articles)  
2.
20 p, 289.0 KB Comparison of two discrimination indexes in the categorisation of continuous predictors in time-to-event studies / Barrio Beraza, Irantzu (Universidad del País Vasco. Departamento de Matemática Aplicada, Estadística e Investigación Operativa) ; Rodríguez-Álvarez, María Xosé (Universidade de Vigo. Departamento de Estadística e Investigación Operativa) ; Meira-Machado, Luis (Universidade do Minho (Braga, Portugal). Centre of Mathematics and Department of Mathematics and Applications) ; Esteban, Cristóbal (Hospital Galdakao-Usansolo. Servicio de Neumología) ; Arostegui Madariaga, Inmaculada (Universidad del País Vasco. Departamento de Matemática Aplicada, Estadística e Investigación Operativa)
The Cox proportional hazards model is the most widely used survival prediction model for analysing time-to-event data. To measure the discrimination ability of a survival model the concordance probability index is widely used. [...]
2017 - 10.2436/20.8080.02.51
SORT : statistics and operations research transactions, Vol. 41 Núm. 1 (January-June 2017) , p. 73-92 (Articles)  
3.
42 p, 806.0 KB Analysing visual receptive fields through generalised additive models with interactions / Rodríguez-Álvarez, María Xosé ; Cadarso-Suárez, Carmen ; González, Francisco
Visual receptive fields (RFs) are small areas of the visual field where a stimulus induces a responses of a particular neuron from the visual system. RFs can be mapped using reverse crosscorrelation technique, which produces raw matrices containing both spatial and temporal information about the RF. [...]
2012
SORT : statistics and operations research transactions, Vol. 36, Núm. 1 (January-June 2012) , p. 3-44  
4.
10 p, 81.9 KB Application of receiver operating characteristic (ROC) methodology in biological studies on marine resources : sex determination of Paracentrotus lividus (Lamarck, 1816) / Lustres-Pérez, Vicente ; Rodríguez-Álvarez, María Xosé ; Pazos Pata, María ; Fernández-Pulpeiro, Eugenio ; Cadarso-Suárez, Carmen ; Universidade de Santiago de Compostela
The receiver operating characteristic (ROC) curve is usually used in biomedicine as an indicator of the accuracy of diagnostic tests. However, this measure of discrimination has been little used in other areas, such as animal biology or ecology. [...]
2010
SORT : statistics and operations research transactions, Vol. 34, Núm. 2 (July-December 2010) , p. 239-248  
5.
12 p, 1.0 MB Modelling spatial patterns of distribution and abundance of mussel seed using Structured Additive Regression models / Pazos Pata, María ; Rodríguez-Álvarez, María Xosé ; Lustres-Pérez, Vicente ; Fernández-Pulpeiro, Eugenio ; Cadarso-Suárez, Carmen
As mussel farming depends on sources of natural mussel seed, knowledge of factors is required to regulate both the spatial distribution and abundance of this resource. These spatial patterns were modelled using Bayesian STructured Additive Regression (STAR) models for categorical data, based on a mixed-model representation. [...]
2010
SORT : statistics and operations research transactions, Vol. 34, Núm. 1 (January-June 2010) , p. 67-78  

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