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Imputation methods for missing outcome data in meta-analysis of clinical trials
BACKGROUND: Missing outcome data from randomized trials lead to greater uncertainty and possible bias in estimating the effect of an experimental treatment. An intention-to-treat analysis should take account of all randomized participants even if they have missing observations. PURPOSE: To review an...
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| Hoofdauteurs: | , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Sage
2008
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2602608/ https://ncbi.nlm.nih.gov/pubmed/18559412 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/1740774508091600 |
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