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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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| Hoofdauteurs: | , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
John Wiley & Sons Ltd
2013
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| Onderwerpen: | |
| Online toegang: | 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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