Multiple imputation using linked proxy outcome data resulted in important bias reduction and efficiency gains: a simulation study

BACKGROUND: When an outcome variable is missing not at random (MNAR: probability of missingness depends on outcome values), estimates of the effect of an exposure on this outcome are often biased. We investigated the extent of this bias and examined whether the bias can be reduced through incorporat...

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Detalles Bibliográficos
Autores principales: Cornish, R. P., Macleod, J., Carpenter, J. R., Tilling, K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5735815/
https://www.ncbi.nlm.nih.gov/pubmed/29270206
http://dx.doi.org/10.1186/s12982-017-0068-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5735815/
https://www.ncbi.nlm.nih.gov/pubmed/29270206
http://dx.doi.org/10.1186/s12982-017-0068-0

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