Publicaciones en las que colabora con Javier Roca Pardiñas (26)

2022

  1. Refreg: An R Package for Estimating Conditional Reference Regions

    R Journal, Vol. 14, Núm. 2, pp. 135-151

2021

  1. Modeling conditional reference regions: Application to glycemic markers

    Statistics in Medicine, Vol. 40, Núm. 26, pp. 5926-5946

  2. Nonparametric location–scale model for the joint forecasting of SO 2 and NO x pollution episodes

    Stochastic Environmental Research and Risk Assessment, Vol. 35, Núm. 2, pp. 231-244

2020

  1. 4.04 - Resampling and Testing in Regression Models with Environmetrical Applications

    Comprehensive Chemometrics: Chemical and Biochemical Data Analysis, Second Edition: Four Volume Set (Elsevier), pp. 87-97

2018

  1. Bootstrap-based procedures for inference in nonparametric receiver-operating characteristic curve regression analysis

    Statistical Methods in Medical Research, Vol. 27, Núm. 3, pp. 740-764

2013

  1. Bandwidth selection for the estimation of transition probabilities in the location-scale progressive three-state model

    Computational Statistics, Vol. 28, Núm. 5, pp. 2185-2210

  2. Flexible quantile regression models: application to the study of the purple sea urchin

    Sort: Statistics and Operations Research Transactions, Vol. 37, Núm. 1, pp. 81-94

2011

  1. Assessing neural activity related to decision-making through flexible odds ratio curves and their derivatives

    Statistics in Medicine, Vol. 30, Núm. 14, pp. 1695-1711

  2. ROC curve and covariates: Extending induced methodology to the non-parametric framework

    Statistics and Computing, Vol. 21, Núm. 4, pp. 483-499

2009

  1. Resampling and Testing in Regression Models with Environmetrical Applications

    Comprehensive Chemometrics (Elsevier), pp. 171-187

  2. Selecting variables in non-parametric regression models for binary response. An application to the computerized detection of breast cancer

    Statistics in Medicine, Vol. 28, Núm. 2, pp. 240-259

2008

  1. Assessing continuous bivariate effects among different groups through nonparametric regression models: An application to breast cancer detection

    Computational Statistics and Data Analysis, Vol. 52, Núm. 4, pp. 1958-1970

  2. Categorical variables, interactions and generalized additive models. Applications in computer-aided diagnosis systems

    Computers in Biology and Medicine, Vol. 38, Núm. 4, pp. 475-483

2007

  1. Bootstrap methods for testing interactions in GAMs

    Statistical Methods for Biostatistics and Related Fields (Springer Berlin Heidelberg), pp. 147-166

2006

  1. Bootstrap-based methods for testing factor-by-curve interactions in generalized additive models: Assessing prefrontal cortex neural activity related to decision-making

    Statistics in Medicine, Vol. 25, Núm. 14, pp. 2483-2501

  2. Effect measures in non-parametric regression with interactions between continuous exposures

    Statistics in Medicine, Vol. 25, Núm. 4, pp. 603-621

  3. Flexible modelling of neuron firing rates across different experimental conditions: An application to neural activity in the prefrontal cortex during a discrimination task

    Journal of the Royal Statistical Society. Series C: Applied Statistics, Vol. 55, Núm. 4, pp. 431-447

  4. Neural correlates of memory retrieval in the prefrontal cortex

    European Journal of Neuroscience, Vol. 24, Núm. 3, pp. 925-936

  5. Using generalized additive models for construction of nonlinear classifiers in computer-aided diagnosis systems

    IEEE Transactions on Information Technology in Biomedicine, Vol. 10, Núm. 2, pp. 246-253

2005

  1. A bootstrap method to avoid the effect of concurvity in generalised additive models in time series studies of air pollution

    Journal of Epidemiology and Community Health, Vol. 59, Núm. 10, pp. 881-884