Article

Multiple Imputation Approaches for Missing Time-to-Event Outcomes with Informative Censoring: Practical Considerations from a Simulation Study Based on Real Data

2024-11-21

Abstract excerpt

Missing outcomes data represent a common threat to the validity and robustness of clinical trials and prospective epidemiologic studies with time-to-event outcomes. Several studies have outlined the importance of critically evaluating missing outcome data in clinical studies, as well as the relevance of multiple imputations (MI) in this context. Recent MI extensions, namely controlled-MI, have been introduced as a...

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Literature Corpus work: 2ed34af3-2204-5fc9-887f-339e219e8cd9
DOI: 10.1101/2024.11.18.24317244

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