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Combining multiple imputation and meta-analysis with individual participant data

Multiple imputation is a strategy for the analysis of incomplete data such that the impact of the missingness on the power and bias of estimates is mitigated. When data from multiple studies are collated, we can propose both within-study and multilevel imputation models to impute missing data on cov...

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Bibliografiske detaljer
Main Authors: Burgess, Stephen, White, Ian R, Resche-Rigon, Matthieu, Wood, Angela M
Format: Artigo
Sprog:Inglês
Udgivet: John Wiley & Sons Ltd 2013
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3963448/
https://ncbi.nlm.nih.gov/pubmed/23703895
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.5844
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