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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 -
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
46citations -
Handling missing values in patient-reported outcome data in the presence of intercurrent events2025 BMC Medical Research Methodology article Mathematics Statistical Methods and Bayesian Inference Open access
Doranne Thomassen, Satrajit Roychoudhury, Cecilie Delphin Amdal, Dries Reynders, Jammbe Z. Musoro, Willi Sauerbrei, +31 more
11citations -
A system for independent evaluation of clinical prediction models while preserving intellectual property and data privacy2026 Zenodo (CERN European Organization for Nuclear Research) preprint Mathematics Statistical Methods in Epidemiology Open access
Joie Ensor, Ben Van Calster, Lasai Barreñada, Laure Wynants, Benjamin I. Perry
0citations -
High-dimensional, outcome-dependent missing data problems: Models for the human KIR loci2025 Statistical Methods in Medical Research article Mathematics Statistical Methods and Bayesian Inference Open access
Lars L. J. van der Burg, Hein Putter, Henning Baldauf, Jürgen Sauter, Johannes Schetelig, Liesbeth C. de Wreede, +1 more
0citations