Publicacións nas que colabora con Carmen María Cadarso Suárez (32)

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

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. Multi-state models for the analysis of time-to-event data

    Statistical Methods in Medical Research, Vol. 18, Núm. 2, pp. 195-222

  2. Resampling and Testing in Regression Models with Environmetrical Applications

    Comprehensive Chemometrics (Elsevier), pp. 171-187

  3. 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

  3. Inference in multi-state survival data

    APPLIED AND COMPUTATIONAL MATHEMATICS, 2ND EDITION

2007

  1. Bootstrap methods for testing interactions in GAMs

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

  2. tdc.msm: An R library for the analysis of multi-state survival data

    Computer Methods and Programs in Biomedicine, Vol. 86, Núm. 2, pp. 131-140

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