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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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Bibliografische gegevens
Hoofdauteurs: Héraud-Bousquet, Vanina, Larsen, Christine, Carpenter, James, Desenclos, Jean-Claude, Le Strat, Yann
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: BioMed Central 2012
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Online toegang: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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