| Combining statistical matching and propensity score adjustment for inference from non-probability surveys L Castro-Martín, M del Mar Rueda, R Ferri-García Journal of Computational and Applied Mathematics 404, 113414, 2022 | 19 | 2022 |
| Inference from non-probability surveys with statistical matching and propensity score adjustment using modern prediction techniques L Castro-Martín, MM Rueda, R Ferri-García Mathematics 8 (6), 879, 2020 | 19 | 2020 |
| On the use of gradient boosting methods to improve the estimation with data obtained with self-selection procedures L Castro-Martín, MM Rueda, R Ferri-García, C Hernando-Tamayo Mathematics 9 (23), 2991, 2021 | 14 | 2021 |
| Estimating general parameters from non-probability surveys using propensity score adjustment L Castro-Martín, MM Rueda, R Ferri-García Mathematics 8 (11), 2096, 2020 | 11 | 2020 |
| 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 C Sánchez-Cantalejo, MM Rueda, M Saez, I Enrique, R Ferri, ML Fuente, ... International Journal of Environmental Research and Public Health 18 (15), 8120, 2021 | 7 | 2021 |
| Evaluating Machine Learning methods for estimation in online surveys with superpopulation modeling R Ferri-García, L Castro-Martín, M del Mar Rueda Mathematics and Computers in Simulation 186, 19-28, 2021 | 6 | 2021 |
| The R package NonProbEst for estimation in non-probability surveys M Rueda, R Ferri-García, L Castro RJ 12 (1), 408-418, 2020 | 6 | 2020 |
| Enhancing estimation methods for integrating probability and nonprobability survey samples with machine‐learning techniques. An application to a Survey on the impact of the … MM Rueda, S Pasadas‐del‐Amo, BC Rodríguez, L Castro‐Martín, ... Biometrical Journal 65 (2), 2200035, 2023 | 5 | 2023 |
| Calibration and XGBoost reweighting to reduce coverage and non-response biases in overlapping panel surveys: application to the Healthcare and Social Survey L Castro, MM Rueda, C Sánchez-Cantalejo, R Ferri, A Cabrera-León BMC Medical Research Methodology 24 (1), 36, 2024 | | 2024 |
| Use of the Therapy App Prescinde for Increasing Adherence to Smoking Cessation Treatment F López-Torrecillas, I Ramírez-Uclés, MM Rueda, B Cobo-Rodríguez, ... Healthcare 11 (24), 3121, 2023 | | 2023 |
| App-Therapy Prescinde for Increasing Adherence to Smoking Cessation Treatment F López-Torrecillas, I Ramírez-Uclés, M del Mar Rueda, ... Preprints, 2023 | | 2023 |
| Reweighting in panel surveys: machine learning techniques for the Health Care and Social Survey A Cabrera-Leon, L Castro-Martín, M Rueda, C Sánchez-Cantalejo, ... European Journal of Public Health 33 (Supplement_2), ckad160. 1696, 2023 | | 2023 |
| Use of machine learning techniques in non-probabilistic samples J Rueda, B Cobo, L Castro 5th International Conference on Advanced Research Methods and Analytics …, 2023 | | 2023 |
| Estimation by kernel weighting of parameters related to employment in the confinement period B Cobo, L Castro, J Rueda 5th International Conference on Advanced Research Methods and Analytics …, 2023 | | 2023 |
| Enhancing estimation methods for integrating probability and non-probability survey samples with machine-learning techniques. An application to a Survey on the impact of the … MM Rueda García, S Pasadas del Amo, B Cobo Rodríguez, ... | | 2023 |
| Methods to Counter Self-Selection Bias in Estimations of the Distribution Function and Quantiles MM Rueda García, S Martínez Puertas, L Castro-Martín MDPI, 2022 | | 2022 |
| Methods to Counter Self-Selection Bias in Estimations of the Distribution Function and Quantiles MM Rueda, S Martínez-Puertas, L Castro-Martín Mathematics 10 (24), 4726, 2022 | | 2022 |
| Package ‘NonProbEst’ LC Martín, MLC Martín | | 2022 |
| Methods to Counter Self-Selection Bias in Estimations of the Distribution Function and Quantiles M del Mar Rueda, S Martínez-Puertas, L Castro-Martín Mathematics 10 (24), 1-19, 2022 | | 2022 |
| Computational methods for bias reduction in surveys L Castro Martín Universidad de Granada, 2022 | | 2022 |
