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Laura Boeschoten
Laura Boeschoten
Assistant Professor, Utrecht University
Geverifieerd e-mailadres voor uu.nl
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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
71*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 18 (2), 124-141, 2024
442024
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
33*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
162022
On text-based personality computing: Challenges and future directions
Q Fang, A Giachanou, A Bagheri, L Boeschoten, EJ van Kesteren, ...
Findings of the Association for Computational Linguistics: ACL 2023, 10861-10879, 2023
112023
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
102020
Automatic de-identification of data download packages
L Boeschoten, R Voorvaart, R Van Den Goorbergh, C Kaandorp, ...
Data Science 4 (2), 101-120, 2021
82021
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
62019
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
62018
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
52020
How to obtain valid inference under unit nonresponse?
L Boeschoten, G Vink, JJCM Hox
Journal of Official Statistics 33 (4), 963-978, 2017
52017
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
42023
Consistent estimates for categorical data based on a mix of administrative data sources and surveys
L Boeschoten
32019
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
12024
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
12019
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
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Artikelen 1–20