Practical considerations for sensitivity analysis after multiple imputation applied to epidemiological studies with incomplete data

BACKGROUND: Multiple Imputation as usually implemented assumes that data are Missing At Random (MAR), meaning that the underlying missing data mechanism, given the observed data, is independent of the unobserved data. To explore the sensitivity of the inferences to departures from the MAR assumption...

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Detalles Bibliográficos
Autores principales: Héraud-Bousquet, Vanina, Larsen, Christine, Carpenter, James, Desenclos, Jean-Claude, Le Strat, Yann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3537570/
https://www.ncbi.nlm.nih.gov/pubmed/22681630
http://dx.doi.org/10.1186/1471-2288-12-73

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3537570/
https://www.ncbi.nlm.nih.gov/pubmed/22681630
http://dx.doi.org/10.1186/1471-2288-12-73

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