Argitalpenak (27) RAMÓN FERRI GARCÍA argitalpenak

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. Encuestas de voluntarios: una revisión de métodos para eliminar el sesgo de voluntariedad

    Nuevos retos, nuevos escenarios para Andalucía

  2. 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

2022

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

    Journal of Computational and Applied Mathematics, Vol. 404

  2. Development and validation of a tool to measure collaborative practice between community pharmacists and physicians from the perspective of community pharmacists: the professional collaborative practice tool

    BMC Health Services Research, Vol. 22, Núm. 1

  3. Técnicas estadísticas para la reducción de sesgos en encuestas online

    V Jornadas de Estadística como Herramienta Científica: libro de resúmenes (Universidad de Jaén), pp. 5

  4. Variable selection in Propensity Score Adjustment to mitigate selection bias in online surveys

    Statistical Papers, Vol. 63, Núm. 6, pp. 1829-1881

  5. Weight smoothing for nonprobability surveys

    Test, Vol. 31, Núm. 3, pp. 619-643

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

  4. Self‐perceived health, life satisfaction and related factors among healthcare professionals and the general population: Analysis of an online survey, with propensity score adjustment

    Mathematics, Vol. 9, Núm. 7

2020

  1. Citizens’ opinion about investment in public transport projects in cities

    International Journal of Sustainable Transportation, Vol. 14, Núm. 10, pp. 806-818

  2. Data mining techniques to analyze the factors influencing active commuting to school

    International Journal of Sustainable Transportation, Vol. 14, Núm. 4, pp. 308-323

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

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

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

    Mathematics, Vol. 8, Núm. 6

  5. Propensity score adjustment using machine learning classification algorithms to control selection bias in online surveys

    PLoS ONE, Vol. 15, Núm. 4

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

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

2019

  1. Reliability and construct validity testing of a questionnaire to assess nomophobia (QANP)

    Escritos de psicología, Vol. 12, Núm. 2, pp. 43-56