Laura Boeschoten

Estimating Classification Errors Under Edit Restrictions in Composite Survey-Register Data Using Multiple Imputation Latent Class Modelling (MILC)

Laura Boeschoten, Daniel Oberski, Ton de Waal, 2017 .

Estimating the number of serious road injuries per vehicle type in the Netherlands by using multiple imputation of latent classes

Jeroen K. Vermunt, Ton de Waal, Laura Boeschoten, 2019, Journal of the Royal Statistical Society: Series A (Statistics in Society).

A framework for digital trace data collection through data donation pdf

Jef Ausloos, Laura Boeschoten, Judith Moeller, 2020, ArXiv.

How to Obtain Valid Inference under Unit Nonresponse?

Laura Boeschoten, Gerko Vink, Joop J. Hox, 2017 .

Combining Multiple Imputation and Hidden Markov Modeling to Obtain Consistent Estimates of Employment Status

Laura Boeschoten, Roberta Varriale, Danila Filipponi, 2020 .

Fair inference on error-prone outcomes pdf

Ayoub Bagheri, Laura Boeschoten, Daniel L. Oberski, 2020, ArXiv.

Automatic de-identification of Data Download Packages pdf

Laura Boeschoten, Roos Voorvaart, Casper Kaandorp, 2021, Data Sci..

A note on efficient audit sample selection

Sander Scholtus, Laura Boeschoten, Arnout van Delden, 2021, 2105.10737.

A set of generated Instagram Data Download Packages (DDPs) to investigate their structure and content

Laura Boeschoten, Ruben van den Goorbergh, Daniel L. Oberski, 2021 .

Privacy-preserving local analysis of digital trace data: A proof-of-concept pdf

Laura Boeschoten, Roos Voorvaart, Adrienne Mendrik, 2021, Patterns.

Achieving Fair Inference Using Error-Prone Outcomes

Ayoub Bagheri, Laura Boeschoten, Erik-Jan van Kesteren, 2021, Int. J. Interact. Multim. Artif. Intell..