Papers matching “missing data imputation” 128
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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 -
A Workflow for Missing Values Imputation of Untargeted Metabolomics Data2020 Metabolites article Biochemistry, Genetics and Molecular Biology Metabolomics and Mass Spectrometry Studies Open access
Tariq O. Faquih, Maarten van Smeden, Jiao Min Luo, Saskia le Cessie, Gabi Kastenmüller, Jan Krumsiek, +6 more
53citations -
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 -
Data imputation methods for intermittent renewable energy sources: Implications for energy system modeling2025 Energy Conversion and Management article Engineering Integrated Energy Systems Optimization Open access
Claudio Mantuano, Olalekan Omoyele, Maximilian Hoffmann, Jann Michael Weinand, Massimo Panella, Detlef Stolten
22citations -
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 -
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 -
Bayesian network imputation methods applied to multi-omics data identify putative causal relationships in a type 2 diabetes dataset containing incomplete data: An IMI DIRECT Study
Richard A. J. Howey, Jonathan Adam, Jerzy Adamski, Natalie N. Atabaki, Søren Brunak, Piotr Jaroslaw Chmura, +32 more
1citations -
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 -
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 -
Continuous(ly) missing outcome data in network meta-analysis: A one-stage pattern-mixture model approach2021 Statistical Methods in Medical Research article Decision Sciences Meta-analysis and systematic reviews Open access
Loukia Maria Spineli, Chrysostomos Kalyvas, Katerina Papadimitropoulou
13citations -
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