4 citations · 4 across the 5 of their papers we have counts for
5 papers
A new test for assessing the covariate effect in ROC curves
Arís Fanjul-Hevia, Juan Carlos Pardo-Fernández, Wenceslao González-Manteiga
The ROC curve is a statistical tool that analyses the accuracy of a diagnostic test in which a variable is used to decide whether an individual is healthy or not. Along with that d…
ROC curve analysis for functional markers
Ana M. Bianco, Graciela Boente, Juan Carlos Pardo-Fernández
Functional markers become a more frequent tool in medical diagnosis. In this paper, we aim to define an index allowing to discriminate between populations when the observations are…
Robust tests for equality of regression curves based on characteristic functions
Graciela Boente, Juan Carlos Pardo-Fernández
This paper focuses on the problem of testing the null hypothesis that the regression functions of several populations are equal under a general nonparametric homoscedastic regressi…
A test for comparing conditional ROC curves with multidimensional covariates
Arís Fanjul-Hevia, Juan Carlos Pardo-Fernández, Ingrid Van Keilegom +1
The comparison of Receiver Operating Characteristic (ROC) curves is frequently used in the literature to compare the discriminatory capability of different classification procedure…
A model specification test for the variance function in nonparametric regression
Juan Carlos Pardo-Fernandez, M. Dolores Jimenez-Gamero
The problem of testing for the parametric form of the conditional variance is considered in a fully nonparametric regression model. A test statistic based on a weighted -dista…