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A Bayesian framework to account for uncertainty due to missing binary outcome data in pairwise meta‐analysis
Missing outcome data are a common threat to the validity of the results from randomised controlled trials (RCTs), which, if not analysed appropriately, can lead to misleading treatment effect estimates. Studies with missing outcome data also threaten the validity of any meta‐analysis that includes t...
Tallennettuna:
| Julkaisussa: | Stat Med |
|---|---|
| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
John Wiley and Sons Inc.
2015
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5054891/ https://ncbi.nlm.nih.gov/pubmed/25809313 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.6475 |
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