| A framework for privacy preserving digital trace data collection through data donation L Boeschoten, J Ausloos, JE Möller, T Araujo, DL Oberski Computational Communication Research 4 (2), 388-423, 2022 | 61* | 2022 |
| Digital trace data collection for social media effects research: APIs, data donation, and (screen) tracking J Ohme, T Araujo, L Boeschoten, D Freelon, N Ram, BB Reeves, ... Communication Methods and Measures, 1-18, 2023 | 32 | 2023 |
| Promises and pitfalls of social media data donations II van Driel, A Giachanou, JL Pouwels, L Boeschoten, I Beyens, ... Communication Methods and Measures 16 (4), 266-282, 2022 | 27* | 2022 |
| 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 | 27* | 2017 |
| 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), 2022 | 15 | 2022 |
| 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 | 9 | 2020 |
| On text-based personality computing: Challenges and future directions Q Fang, A Giachanou, A Bagheri, L Boeschoten, EJ van Kesteren, ... arXiv preprint arXiv:2212.06711, 2022 | 8 | 2022 |
| Automatic de-identification of data download packages L Boeschoten, R Voorvaart, R Van Den Goorbergh, C Kaandorp, ... Data Science 4 (2), 101-120, 2021 | 7 | 2021 |
| Achieving Fair Inference Using Error-Prone Outcomes L Boeschoten, EJ van Kesteren, A Bagheri, DL Oberski International Journal of Interactive Multimedia and Artificial Intelligence …, 2020 | 7* | 2020 |
| Estimating the number of serious road injuries per vehicle type in the Netherlands by using multiple imputation of latent classes L Boeschoten, T Waal, JK Vermunt Journal of the Royal Statistical Society Series A: Statistics in Society 182 …, 2019 | 6 | 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 | 6 | 2018 |
| How to obtain valid inference under unit nonresponse? L Boeschoten, G Vink, JJCM Hox Journal of Official Statistics 33 (4), 963-978, 2017 | 5 | 2017 |
| 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 |
| Consistent estimates for categorical data based on a mix of administrative data sources and surveys L Boeschoten | 2 | 2019 |
| A note on applying the bch method under linear equality and inequality constraints L Boeschoten, MA Croon, DL Oberski Journal of Classification 36, 566-575, 2019 | 1 | 2019 |
| Open data work for empowered deliberative democracy: Findings from a living lab study E Ruijer, C Dymanus, EJ van Kesteren, L Boeschoten, A Meijer Government Information Quarterly 41 (1), 101902, 2024 | | 2024 |
| Port: A software tool for digital data donation L Boeschoten, NC de Schipper, AM Mendrik, E van der Veen, ... Journal of Open Source Software 8 (90), 5596, 2023 | | 2023 |
| Best practices in data donation: A workflow for studies using digital data donation TC Carrière, L Boeschoten, B Struminskaya, H Janssen, NC de Schipper, ... OSF Preprints. October 13, 2023 | | 2023 |
| A note on efficient audit sample selection L Boeschoten, A Scholtus, Sander, Van Delden CBS Discussion Paper, 2023 | | 2023 |
| Using multiple imputation of latent classes to construct population census tables with data from multiple sources L Boeschoten, S Scholtus, J Daalmans, J Vermunt, T De Waal Survey Methodology 48 (1), 119-144, 2022 | | 2022 |
