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Multiple imputation methods for bivariate outcomes in cluster randomised trials

Missing observations are common in cluster randomised trials. The problem is exacerbated when modelling bivariate outcomes jointly, as the proportion of complete cases is often considerably smaller than the proportion having either of the outcomes fully observed. Approaches taken to handling such mi...

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Detalles Bibliográficos
Publicado en:Stat Med
Main Authors: DiazOrdaz, K., Kenward, M. G., Gomes, M., Grieve, R.
Formato: Artigo
Idioma:Inglês
Publicado: John Wiley and Sons Inc. 2016
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC4981911/
https://ncbi.nlm.nih.gov/pubmed/26990655
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.6935
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