Publications
2023
Scholarly publications
Oberman, H. I., & Vink, G. (2023). Toward a standardized evaluation of imputation methodology. Biometrical Journal. https://doi.org/10.1002/bimj.202200107
2022
Scholarly publications
Oberman, H., & Vink, G. (2022, Sept 22). Checklist for reporting on imputation methodology evaluations. Research Equals. https://doi.org/10.53962/vrd3-8h76
Other output
Oberman, H. I. (Author). (2022). ggmice: Visualizations for 'mice' with 'ggplot2'. Software https://doi.org/10.5281/zenodo.6532702
2021
Scholarly publications
Oberman, H. I. (2021). Visualizing Uncertainty due to Missing Data. https://doi.org/10.31219/osf.io/ahtfy
Liu, D., Oberman, H., Muñoz, J., Hoogland, J., & Debray, T. P. A. (2021). Quality control, data cleaning, imputation. (pp. 1-40). arXiv. https://doi.org/10.48550/arXiv.2110.15877
Oberman, H. I., Buuren, S. V., & Vink, G. (2021). Missing the Point: Non-Convergence in Iterative Imputation Algorithms. (pp. 1-3). arXiv. https://doi.org/10.48550/arXiv.2110.11951
https://dspace.library.uu.nl/bitstream/handle/1874/415934/2110.11951v1.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/415934/2110.11951v1.pdf?sequence=1
2020
Scholarly publications
Oberman, H. I., van Buuren, S., & Vink, G. (2020). Missing the Point: Non-Convergence in Iterative Imputation Algorithms. In First Workshop on the Art of Learning with Missing Values (Artemiss) hosted by the 37 th International Conference on Machine Learning (ICML)
https://dspace.library.uu.nl/bitstream/handle/1874/414682/missing_the_point_non_convergence_in_iterative_imputation_algorithms.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/414682/missing_the_point_non_convergence_in_iterative_imputation_algorithms.pdf?sequence=1