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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2017
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| Materias: | |
| 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 |