| Estimating classification errors under edit restrictions in composite survey-register data using multiple imputation latent class modelling (MILC) L Boeschoten, D Oberski, T De Waal Journal of Official Statistics 33 (4), 921-962, 2017 | 22* | 2017 |
| Digital trace data collection through data donation L Boeschoten, J Ausloos, J Moeller, T Araujo, DL Oberski arXiv preprint arXiv:2011.09851, 2020 | 20* | 2020 |
| Combining Multiple Imputation and Hidden Markov Modeling to Obtain Consistent Estimates of Employment Status L Boeschoten, D Filipponi, R Varriale Journal of Survey Statistics and Methodology, 2020 | 5 | 2020 |
| Estimating the number of serious road injuries per vehicle type in the Netherlands by using multiple imputation of latent classes L Boeschoten, T de Waal, JK Vermunt Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2019 | 5 | 2019 |
| Updating latent class imputations with external auxiliary variables L Boeschoten, DL Oberski, T De Waal, JK Vermunt Structural Equation Modeling: A Multidisciplinary Journal 25 (5), 750-761, 2018 | 5 | 2018 |
| Instagram use and the well-being of adolescents: Using deep learning to link social scientific self-reports with Instagram data download packages L Boeschoten, II van Driel, DL Oberski, LJ Pouwels Companion Publication of the 2020 International Conference on Multimodal …, 2020 | 4 | 2020 |
| How to Obtain Valid Inference under Unit Nonresponse? L Boeschoten, G Vink, JJCM Hox Journal of Official Statistics 33 (4), 963-978, 2017 | 4 | 2017 |
| Fair inference on error-prone outcomes L Boeschoten, EJ van Kesteren, A Bagheri, DL Oberski arXiv preprint arXiv:2003.07621, 2020 | 3* | 2020 |
| Promises and Pitfalls of Instagram Data Donations I Van Driel, A Giachanou, JL Pouwels, L Boeschoten, I Beyens, ... OSFPREPRINTS, 2021 | 2 | 2021 |
| Automatic de-identification of data download packages L Boeschoten, R Voorvaart, R Van Den Goorbergh, C Kaandorp, ... Data Science, 1-20, 2021 | 2 | 2021 |
| Privacy-preserving local analysis of digital trace data: A proof-of-concept L Boeschoten, A Mendrik, E van der Veen, J Vloothuis, H Hu, R Voorvaart, ... Patterns 3 (3), 100444, 2022 | 1 | 2022 |
| A note on applying the bch method under linear equality and inequality constraints L Boeschoten, MA Croon, DL Oberski Journal of Classification 36 (3), 566-575, 2019 | 1 | 2019 |
| Consistent Estimates for Categorical Data Based on a Mix of Adminstrative Data Sources and Surveys L Boeschoten Tilburg University, 2019 | 1 | 2019 |
| A note on efficient audit sample selection L Boeschoten, S Scholtus, A Van Delden arXiv preprint arXiv:2105.10737, 2021 | | 2021 |
| A framework for digital trace data collection through data donation. L Boeschoten, J Ausloos, JE Möller, TB Araujo, DL Oberski CoRR, 2020 | | 2020 |
| Estimating population census tables and their accuracy using Multiple Imputation of Latent Classes (MILC) with multi-source data L Boeschoten, S Scholtus, T de Waal, J Daalmans, J Vermunt ITACOSM 2019-Survey and Data Science, 2019 | | 2019 |
| Latent Class Multiple Imputation for multiply observed variables in a combined dataset L Boeschoten, D Oberski, AG de Waal Q 2016: European Conference on Quality in Official Statistics, 1-10, 2016 | | 2016 |
| Instagram Use and the Well-Being of Adolescents L Boeschoten, II van Driel, DL Oberski, L Pouwels | | |
| Gelijke schattingen voor categorische data bij een combinatie van registerdata en surveys L Boeschoten | | |
