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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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Main Authors: Héraud-Bousquet, Vanina, Larsen, Christine, Carpenter, James, Desenclos, Jean-Claude, Le Strat, Yann
Formato: Artigo
Idioma:Inglês
Publicado: BioMed Central 2012
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC3537570/
https://ncbi.nlm.nih.gov/pubmed/22681630
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2288-12-73
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