Publicacions en què col·labora amb LUIS CASTRO MARTÍN (13)

2024

  1. Calibration and XGBoost reweighting to reduce coverage and non-response biases in overlapping panel surveys: application to the Healthcare and Social Survey

    BMC Medical Research Methodology, Vol. 24, Núm. 1

  2. Kernel Weighting for blending probability and non-probability survey samples

    Sort: Statistics and Operations Research Transactions, Vol. 48, Núm. 1, pp. 93-124

2023

  1. Enhancing estimation methods for integrating probability and nonprobability survey samples with machine-learning techniques. An application to a Survey on the impact of the COVID-19 pandemic in Spain

    Biometrical Journal, Vol. 65, Núm. 2

  2. Use of the Therapy App Prescinde for Increasing Adherence to Smoking Cessation Treatment

    Healthcare (Switzerland), Vol. 11, Núm. 24

2022

  1. Combining Statistical Matching and Propensity Score Adjustment for inference from non-probability surveys

    Journal of Computational and Applied Mathematics, Vol. 404

  2. Computational methods for bias reduction in surveys

    Computational methods for bias reduction in surveys

  3. Methods to Counter Self-Selection Bias in Estimations of the Distribution Function and Quantiles

    Mathematics, Vol. 10, Núm. 24

2021

  1. Evaluating Machine Learning methods for estimation in online surveys with superpopulation modeling

    Mathematics and Computers in Simulation, Vol. 186, pp. 19-28

  2. Impact of covid-19 on the health of the general and more vulnerable population and its determinants: Health care and social survey–essoc, study protocol

    International Journal of Environmental Research and Public Health, Vol. 18, Núm. 15

  3. On the use of gradient boosting methods to improve the estimation with data obtained with self-selection procedures

    Mathematics, Vol. 9, Núm. 23

2020

  1. Estimating general parameters from non-probability surveys using propensity score adjustment

    Mathematics, Vol. 8, Núm. 11, pp. 1-14

  2. Inference from non-probability surveys with statistical matching and propensity score adjustment using modern prediction techniques

    Mathematics, Vol. 8, Núm. 6

  3. The R package NonProbEst for estimation in non-probability surveys

    R Journal, Vol. 12, Núm. 1, pp. 405-417