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When and how should multiple imputation be used for handling missing data in randomised clinical trials – a practical guide with flowcharts
BACKGROUND: Missing data may seriously compromise inferences from randomised clinical trials, especially if missing data are not handled appropriately. The potential bias due to missing data depends on the mechanism causing the data to be missing, and the analytical methods applied to amend the miss...
Tallennettuna:
| Julkaisussa: | BMC Med Res Methodol |
|---|---|
| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2017
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5717805/ https://ncbi.nlm.nih.gov/pubmed/29207961 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-017-0442-1 |
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