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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
12citations -
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 -
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 -
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 -
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
3citations -
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 -
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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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 -
International standards for the analysis of quality-of-life and patient-reported outcome endpoints in cancer randomised controlled trials: recommendations of the SISAQOL Consortium
Corneel Coens, Madeline Lee Pe, Amylou Constance Dueck, Jeff A. Sloan, Ethan Basch, Melanie Jane Calvert, +28 more
330citations