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Best (but oft-forgotten) practices: missing data methods in randomized controlled nutrition trials
Missing data ubiquitously occur in randomized controlled trials and may compromise the causal inference if inappropriately handled. Some problematic missing data methods such as complete case (CC) analysis and last-observation-carried-forward (LOCF) are unfortunately still common in nutrition trials...
Gespeichert in:
| Veröffentlicht in: | Am J Clin Nutr |
|---|---|
| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Oxford University Press
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6408317/ https://ncbi.nlm.nih.gov/pubmed/30793174 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/ajcn/nqy271 |
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