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Missing Data in Prediction Research: A Five-Step Approach for Multiple Imputation, Illustrated in the CENTER-TBI Study2021 Journal of Neurotrauma article Mathematics Statistical Methods and Bayesian Inference Open access
Benjamin Yaël Gravesteijn, Charlie Aletta Sewalt, Esmée Venema, Daan Nieboer, Ewout Willem Steyerberg, Cecilia A. I. Åkerlund, +92 more
44citations -
Construction and assessment of prediction rules for binary outcome in the presence of missing predictor data using multiple imputation and cross‐validation: Methodological approach and data‐based evaluation20citations
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Multiple Imputation of Missing Covariates When Using the Fine–Gray Model2025 Statistics in Medicine article Mathematics Statistical Methods and Bayesian Inference Open access
Edouard F. Bonneville, Jan Beyersmann, Ruth H. Keogh, Jonathan William Bartlett, Tim Peter Morris, Nicola Polverelli, +2 more
4citations -
Multiple imputation for cause-specific Cox models: Assessing methods for estimation and prediction2022 Statistical Methods in Medical Research article Mathematics Statistical Methods and Bayesian Inference Open access
Edouard F. Bonneville, Matthieu Resche‐Rigon, Johannes Schetelig, Hein Putter, Liesbeth C. de Wreede
17citations -
Imputation of Ordinal Outcomes: A Comparison of Approaches in Traumatic Brain Injury2020 Journal of Neurotrauma article Mathematics Statistical Methods and Bayesian Inference Open access
Kevin Kunzmann, Lorenz Wernisch, Sylvia T. Richardson, Ewout Willem Steyerberg, Hester Floor Lingsma, Ari Ercole, +3 more
44citations -
Analyzing Coarsened and Missing Data by Imputation Methods2025 Statistics in Medicine article Mathematics Statistical Methods and Bayesian Inference Open access
Lars L. J. van der Burg, Stefan Böhringer, Jonathan William Bartlett, Tjalling Bosse, Nanda Horeweg, Liesbeth C. de Wreede, +1 more
0citations -
Response to “Comment on Maternal Perfluoroalkyl Substances, Thyroid Hormones, and DIO Genes: A Spanish Cross-sectional Study: Predictability of Multiple Imputations for Large Amounts of Missing Data”2022 Environmental Science & Technology editorial Mathematics Statistical Methods and Bayesian Inference Open access
Blanca Sarzo, Virginia Ballesteros, Carmen Íñiguez, Cyntia B. Manzano-Salgado, Maribel Casas, Sabrina Llop, +9 more
2citations -
Predictive averaging and Rubin’s rule-based model pooling to predict survival risk with imputations in the presence of missing patient data: methodology and verification using two case studies and simulations2026 BMC Medical Research Methodology article Mathematics Statistical Methods and Bayesian Inference Open access
Bart J.A. Mertens, Lars L. J. van der Burg, Erwan Donal, Nina Ajmone Marsan, Liesbeth C. de Wreede
1citations -
31citations
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Information about missing patient-reported outcome data in breast cancer trials is frequently not documented: a scoping review2023 Journal of Clinical Epidemiology article Mathematics Statistical Methods in Clinical Trials Open access
Daniela Krepper, Johannes Maria Giesinger, Linda Dirven, Fabio Efficace, Caroline Lopes Martini, Anna Margarete Maria Thurner, +3 more
12citations