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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Detalles Bibliográficos
Autores principales: Higgins, Julian PT, White, Ian R, Wood, Angela M
Formato: Texto
Lenguaje:English
Publicado: Sage 2008
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2602608/
https://www.ncbi.nlm.nih.gov/pubmed/18559412
http://dx.doi.org/10.1177/1740774508091600

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2602608/
https://www.ncbi.nlm.nih.gov/pubmed/18559412
http://dx.doi.org/10.1177/1740774508091600

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