Missing not at random in end of life care studies: multiple imputation and sensitivity analysis on data from the ACTION study

BACKGROUND: Missing data are common in end-of-life care studies, but there is still relatively little exploration of which is the best method to deal with them, and, in particular, if the missing at random (MAR) assumption is valid or missing not at random (MNAR) mechanisms should be assumed. In thi...

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Detalles Bibliográficos
Autores principales: Carreras, Giulia, Miccinesi, Guido, Wilcock, Andrew, Preston, Nancy, Nieboer, Daan, Deliens, Luc, Groenvold, Mogensm, Lunder, Urska, van der Heide, Agnes, Baccini, Michela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796568/
https://www.ncbi.nlm.nih.gov/pubmed/33422019
http://dx.doi.org/10.1186/s12874-020-01180-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796568/
https://www.ncbi.nlm.nih.gov/pubmed/33422019
http://dx.doi.org/10.1186/s12874-020-01180-y

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