A review of the use of controlled multiple imputation in randomised controlled trials with missing outcome data

BACKGROUND: Missing data are common in randomised controlled trials (RCTs) and can bias results if not handled appropriately. A statistically valid analysis under the primary missing-data assumptions should be conducted, followed by sensitivity analysis under alternative justified assumptions to ass...

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Detalles Bibliográficos
Autores principales: Tan, Ping-Tee, Cro, Suzie, Van Vogt, Eleanor, Szigeti, Matyas, Cornelius, Victoria R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8048273/
https://www.ncbi.nlm.nih.gov/pubmed/33858355
http://dx.doi.org/10.1186/s12874-021-01261-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8048273/
https://www.ncbi.nlm.nih.gov/pubmed/33858355
http://dx.doi.org/10.1186/s12874-021-01261-6

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