What impact do assumptions about missing data have on conclusions? A practical sensitivity analysis for a cancer survival registry

BACKGROUND: Within epidemiological and clinical research, missing data are a common issue and often over looked in publications. When the issue of missing observations is addressed it is usually assumed that the missing data are ‘missing at random’ (MAR). This assumption should be checked for plausi...

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Detalles Bibliográficos
Autores principales: Smuk, M., Carpenter, J. R., Morris, T. P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5294884/
https://www.ncbi.nlm.nih.gov/pubmed/28166735
http://dx.doi.org/10.1186/s12874-017-0301-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5294884/
https://www.ncbi.nlm.nih.gov/pubmed/28166735
http://dx.doi.org/10.1186/s12874-017-0301-0

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