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WENCESLAO GONZÁLEZ‐MANTEIGA JUAN CARLOS PARDO‐FERNÁNDEZ INGRID VAN KEILEGOM 《Scandinavian Journal of Statistics》2011,38(1):169-184
Abstract. The receiver operating characteristic (ROC) curve is a tool of extensive use to analyse the discrimination capability of a diagnostic variable in medical studies. In certain situations, the presence of a covariate related to the diagnostic variable can increase the discriminating power of the ROC curve. In this article, we model the effect of the covariate over the diagnostic variable by means of non‐parametric location‐scale regression models. We propose a new non‐parametric estimator of the conditional ROC curve and study its asymptotic properties. We also present some simulations and an illustration to a data set concerning diagnosis of diabetes. 相似文献
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GILBERTO GONZÁLEZ-PARRA LUCAS JÓDAR FRANCISCO JOSÉ SANTONJA RAFAEL JACINTO VILLANUEVA 《Mathematical Population Studies》2013,20(1):1-11
An age-structured model for childhood obesity at population level is fitted to empirical data in order to predict the proportion of overweighted and obese children in the 6–8 and 9–12 year old classes in the region of Valencia, Spain. 相似文献
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CÉSAR SÁNCHEZ SELLERO WENCESLAO GONZÁLEZ MANTEIGA INGRID VAN KEILEGOM 《Scandinavian Journal of Statistics》2005,32(4):563-581
Abstract. Let X be a d -variate random vector that is completely observed, and let Y be a random variable that is subject to right censoring and left truncation. For arbitrary functions φ we consider expectations of the form E [ φ ( X , Y )], which appear in many statistical problems, and we estimate these expectations by using a product-limit estimator for censored and truncated data, extended to the context where covariates are present. An almost sure representation for these estimators is obtained, with a remainder term that is of a certain negligible order, uniformly over a class of φ -functions. This uniformity is important for the application to goodness-of-fit testing in regression and to inference for the regression depth, which we consider in more detail. 相似文献
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